{"id":"https://openalex.org/W4400607675","doi":"https://doi.org/10.1093/jamia/ocae177","title":"Extraction of sleep information from clinical notes of Alzheimer\u2019s disease patients using natural language processing","display_name":"Extraction of sleep information from clinical notes of Alzheimer\u2019s disease patients using natural language processing","publication_year":2024,"publication_date":"2024-07-01","ids":{"openalex":"https://openalex.org/W4400607675","doi":"https://doi.org/10.1093/jamia/ocae177","pmid":"https://pubmed.ncbi.nlm.nih.gov/39001795"},"language":"en","primary_location":{"id":"doi:10.1093/jamia/ocae177","is_oa":false,"landing_page_url":"https://doi.org/10.1093/jamia/ocae177","pdf_url":null,"source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11413436/pdf/ocae177.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088321269","display_name":"Sonish Sivarajkumar","orcid":"https://orcid.org/0000-0003-4173-1988"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sonish Sivarajkumar","raw_affiliation_strings":["Intelligent Systems Program, University of Pittsburgh , Pittsburgh, PA 15260, United States"],"raw_orcid":"https://orcid.org/0000-0003-4173-1988","affiliations":[{"raw_affiliation_string":"Intelligent Systems Program, University of Pittsburgh , Pittsburgh, PA 15260, United States","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110850746","display_name":"Thomas Yu Chow Tam","orcid":null},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas Yu Chow Tam","raw_affiliation_strings":["Department of Health Information Management, University of Pittsburgh , Pittsburgh, PA 15260, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Information Management, University of Pittsburgh , Pittsburgh, PA 15260, United States","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026929130","display_name":"Haneef Ahamed Mohammad","orcid":null},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haneef Ahamed Mohammad","raw_affiliation_strings":["Department of Health Information Management, University of Pittsburgh , Pittsburgh, PA 15260, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Information Management, University of Pittsburgh , Pittsburgh, PA 15260, United States","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098399185","display_name":"Samuel Viggiano","orcid":null},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samuel Viggiano","raw_affiliation_strings":["Department of Health Information Management, University of Pittsburgh , Pittsburgh, PA 15260, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Information Management, University of Pittsburgh , Pittsburgh, PA 15260, United States","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048086803","display_name":"David Oniani","orcid":"https://orcid.org/0000-0002-9221-3059"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Oniani","raw_affiliation_strings":["Department of Health Information Management, University of Pittsburgh , Pittsburgh, PA 15260, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Information Management, University of Pittsburgh , Pittsburgh, PA 15260, United States","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036362467","display_name":"Shyam Visweswaran","orcid":"https://orcid.org/0000-0002-2079-8684"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shyam Visweswaran","raw_affiliation_strings":["Department of Biomedical Informatics, University of Pittsburgh , Pittsburgh, PA 15260, United States","Intelligent Systems Program, University of Pittsburgh , Pittsburgh, PA 15260, United States"],"raw_orcid":"https://orcid.org/0000-0002-2079-8684","affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, University of Pittsburgh , Pittsburgh, PA 15260, United States","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"Intelligent Systems Program, University of Pittsburgh , Pittsburgh, PA 15260, United States","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080116611","display_name":"Yanshan Wang","orcid":"https://orcid.org/0000-0003-4433-7839"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yanshan Wang","raw_affiliation_strings":["Clinical and Translational Science Institute, University of Pittsburgh , Pittsburgh, PA 15260, United States","Department of Biomedical Informatics, University of Pittsburgh , Pittsburgh, PA 15260, United States","Department of Health Information Management, University of Pittsburgh , Pittsburgh, PA 15260, United States","Intelligent Systems Program, University of Pittsburgh , Pittsburgh, PA 15260, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Clinical and Translational Science Institute, University of Pittsburgh , Pittsburgh, PA 15260, United States","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"Department of Biomedical Informatics, University of Pittsburgh , Pittsburgh, PA 15260, United States","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"Department of Health Information Management, University of Pittsburgh , Pittsburgh, PA 15260, United States","institution_ids":["https://openalex.org/I170201317"]},{"raw_affiliation_string":"Intelligent Systems Program, University of Pittsburgh , Pittsburgh, PA 15260, United States","institution_ids":["https://openalex.org/I170201317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5080116611"],"corresponding_institution_ids":["https://openalex.org/I170201317"],"apc_list":{"value":3967,"currency":"USD","value_usd":3967},"apc_paid":null,"fwci":8.0783,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.97833986,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"31","issue":"10","first_page":"2217","last_page":"2227"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10316","display_name":"Sleep and related disorders","score":0.866599977016449,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10316","display_name":"Sleep and related disorders","score":0.866599977016449,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10234","display_name":"Obstructive Sleep Apnea Research","score":0.04390000179409981,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10985","display_name":"Sleep and Wakefulness Research","score":0.027400000020861626,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.6107616424560547},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.597999095916748},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5637072920799255},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5546471476554871},{"id":"https://openalex.org/keywords/sleep","display_name":"Sleep (system call)","score":0.5475947260856628},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.4881618618965149},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45244473218917847},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36041519045829773},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.31945717334747314},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.1471654176712036},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09912538528442383}],"concepts":[{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.6107616424560547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.597999095916748},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5637072920799255},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5546471476554871},{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.5475947260856628},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.4881618618965149},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45244473218917847},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36041519045829773},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.31945717334747314},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.1471654176712036},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09912538528442383},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012893","descriptor_name":"Sleep Wake Disorders","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012893","descriptor_name":"Sleep Wake Disorders","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012893","descriptor_name":"Sleep Wake Disorders","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012893","descriptor_name":"Sleep Wake Disorders","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012893","descriptor_name":"Sleep Wake Disorders","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012893","descriptor_name":"Sleep Wake Disorders","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012893","descriptor_name":"Sleep Wake Disorders","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012893","descriptor_name":"Sleep Wake Disorders","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012893","descriptor_name":"Sleep Wake Disorders","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012893","descriptor_name":"Sleep Wake Disorders","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012893","descriptor_name":"Sleep Wake Disorders","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1093/jamia/ocae177","is_oa":false,"landing_page_url":"https://doi.org/10.1093/jamia/ocae177","pdf_url":null,"source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},{"id":"pmid:39001795","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39001795","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association : JAMIA","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11413436","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11413436","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11413436/pdf/ocae177.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Am Med Inform Assoc","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:11413436","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11413436","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11413436/pdf/ocae177.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Am Med Inform Assoc","raw_type":"Text"},"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1106133522","display_name":null,"funder_award_id":"U24 TR004111","funder_id":"https://openalex.org/F4320337472","funder_display_name":"National Center for Advancing Translational Sciences"},{"id":"https://openalex.org/G2189905605","display_name":null,"funder_award_id":"U24TR004111","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3338845938","display_name":null,"funder_award_id":"UL1 TR001857","funder_id":"https://openalex.org/F4320337472","funder_display_name":"National Center for Advancing Translational Sciences"},{"id":"https://openalex.org/G382727557","display_name":null,"funder_award_id":"UL1TR001857","funder_id":"https://openalex.org/F4320310174","funder_display_name":"University of Pittsburgh"},{"id":"https://openalex.org/G7515012519","display_name":null,"funder_award_id":"UL1TR001857","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G8216863752","display_name":null,"funder_award_id":"R01 LM014306","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"},{"id":"https://openalex.org/G8859862982","display_name":null,"funder_award_id":"R01LM014306","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320310174","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"},{"id":"https://openalex.org/F4320337472","display_name":"National Center for Advancing Translational Sciences","ror":"https://ror.org/04pw6fb54"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4400607675.pdf"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W86609720","https://openalex.org/W1967239543","https://openalex.org/W1969015613","https://openalex.org/W1998951679","https://openalex.org/W2017924988","https://openalex.org/W2025315774","https://openalex.org/W2047070516","https://openalex.org/W2059703710","https://openalex.org/W2062828244","https://openalex.org/W2078929245","https://openalex.org/W2096797897","https://openalex.org/W2126259328","https://openalex.org/W2160194473","https://openalex.org/W2164864123","https://openalex.org/W2266863819","https://openalex.org/W2273053705","https://openalex.org/W2399807699","https://openalex.org/W2401585477","https://openalex.org/W2577646479","https://openalex.org/W2623211776","https://openalex.org/W2738055145","https://openalex.org/W2743744578","https://openalex.org/W2765790024","https://openalex.org/W2765855413","https://openalex.org/W2768488789","https://openalex.org/W2787868817","https://openalex.org/W2793391328","https://openalex.org/W2805189200","https://openalex.org/W2811987522","https://openalex.org/W2917209203","https://openalex.org/W2927032858","https://openalex.org/W3091781426","https://openalex.org/W3126592082","https://openalex.org/W3157419554","https://openalex.org/W3208780888","https://openalex.org/W4211050998","https://openalex.org/W4211139529","https://openalex.org/W4211157318","https://openalex.org/W4220708561","https://openalex.org/W4221150520","https://openalex.org/W4247002863","https://openalex.org/W4308483649","https://openalex.org/W4309614068","https://openalex.org/W4387893299","https://openalex.org/W4388275371","https://openalex.org/W4394579747","https://openalex.org/W6603505381","https://openalex.org/W6642054142","https://openalex.org/W6752705440","https://openalex.org/W6810475697"],"related_works":["https://openalex.org/W3106607904","https://openalex.org/W4313199257","https://openalex.org/W4399401193","https://openalex.org/W2377297411","https://openalex.org/W1987143530","https://openalex.org/W4254944167","https://openalex.org/W2035227061","https://openalex.org/W2497563689","https://openalex.org/W3148217948","https://openalex.org/W2368651715"],"abstract_inverted_index":{"OBJECTIVES:":[0],"Alzheimer's":[1],"disease":[2],"(AD)":[3],"is":[4,16,36,56,65,141,332,364],"the":[5,12,19,42,58,79,118,125,154,170,198,219,262,278,283,296,301,317,336,339,354,367,374,382,388,399],"most":[6],"common":[7],"form":[8],"of":[9,18,39,81,105,120,146,158,164,172,200,227,242,265,273,370,402],"dementia":[10],"in":[11,31,117,335,373],"United":[13],"States.":[14],"Sleep":[15],"one":[17],"lifestyle-related":[20],"factors":[21],"that":[22,57,381],"has":[23],"been":[24],"shown":[25],"critical":[26],"for":[27,52,287,304,320,391,415],"optimal":[28],"cognitive":[29],"function":[30],"old":[32],"age.":[33],"However,":[34],"there":[35],"a":[37,115,156,179,231,250],"lack":[38],"research":[40,55],"studying":[41],"association":[43],"between":[44,127],"sleep":[45,63,90,97,100,109,128,206,209,216,292,309,325,330,371,393,412],"and":[46,69,99,129,132,189,215,249,291,307,312,324,344],"AD":[47,106,130,166,405],"incidence.":[48],"A":[49,137],"major":[50],"bottleneck":[51],"conducting":[53],"such":[54,85],"traditional":[59],"way":[60],"to":[61,71,77,113,196,366,410],"acquire":[62],"information":[64,331,372,413],"time-consuming,":[66],"inefficient,":[67],"non-scalable,":[68],"limited":[70],"patients'":[72],"subjective":[73],"experience.":[74],"We":[75,177],"aim":[76],"automate":[78,197],"extraction":[80,199,414],"specific":[82],"sleep-related":[83,201,269],"patterns,":[84],"as":[86],"snoring,":[87,204],"napping,":[88,205],"poor":[89],"quality,":[91,210],"daytime":[92,211,288],"sleepiness,":[93,212],"night":[94,213,321],"wakings,":[95,214],"other":[96,416],"problems,":[98],"duration,":[101,217],"from":[102,143,153,169,218],"clinical":[103,150,162,337,400],"notes":[104,163,401],"patients.":[107],"These":[108],"patterns":[110],"are":[111],"hypothesized":[112],"play":[114],"role":[116],"incidence":[119],"AD,":[121],"providing":[122],"insight":[123],"into":[124],"relationship":[126],"onset":[131],"progression.":[133],"MATERIALS":[134],"AND":[135],"METHODS:":[136],"gold":[138,220],"standard":[139,221],"dataset":[140,226],"created":[142],"manual":[144],"annotation":[145],"570":[147],"randomly":[148],"sampled":[149],"note":[151],"documents":[152],"adSLEEP,":[155],"corpus":[157],"192":[159],"000":[160],"de-identified":[161],"7266":[165],"patients":[167,229,403],"retrieved":[168],"University":[171],"Pittsburgh":[173],"Medical":[174],"Center":[175],"(UPMC).":[176],"developed":[178],"rule-based":[180,279,341,383],"natural":[181],"language":[182,191],"processing":[183],"(NLP)":[184],"algorithm,":[185],"machine":[186,297,355],"learning":[187,298],"models,":[188],"large":[190],"model":[192],"(LLM)-based":[193],"NLP":[194,259,280,342,346,384],"algorithms":[195,347],"concepts,":[202],"including":[203],"problem,":[207],"bad":[208,308],"dataset.":[222],"RESULTS:":[223],"The":[224,378],"annotated":[225],"482":[228],"comprised":[230],"predominantly":[232],"White":[233],"(89.2%),":[234],"older":[235],"adult":[236],"population":[237],"with":[238,314,404],"an":[239],"average":[240],"age":[241],"84.7":[243],"years,":[244],"where":[245],"females":[246],"represented":[247],"64.1%,":[248],"vast":[251],"majority":[252],"were":[253],"non-Hispanic":[254],"or":[255],"Latino":[256],"(94.6%).":[257],"Rule-based":[258],"algorithm":[260,281,343,385],"achieved":[261,282,349,387],"best":[263,389],"performance":[264,390],"F1":[266],"across":[267],"all":[268,392],"concepts.":[270,394],"In":[271,352],"terms":[272],"positive":[274],"predictive":[275],"value":[276],"(PPV),":[277],"highest":[284,302,318],"PPV":[285,303,319],"scores":[286],"sleepiness":[289],"(1.00)":[290],"duration":[293],"(1.00),":[294],"while":[295],"models":[299],"had":[300,316],"napping":[305],"(0.95)":[306],"quality":[310],"(0.86),":[311],"LLAMA2":[313],"finetuning":[315],"wakings":[322],"(0.93)":[323],"problem":[326],"(0.89).":[327],"DISCUSSION:":[328],"Although":[329],"infrequently":[333],"documented":[334],"notes,":[338],"proposed":[340],"LLM-based":[345],"still":[348],"promising":[350],"results.":[351],"comparison,":[353],"learning-based":[356],"approaches":[357],"did":[358],"not":[359],"achieve":[360],"good":[361],"results,":[362],"which":[363],"due":[365],"small":[368],"size":[369],"training":[375],"data.":[376],"CONCLUSION:":[377],"results":[379],"show":[380],"consistently":[386],"This":[395],"study":[396],"focused":[397],"on":[398],"but":[406],"could":[407],"be":[408],"extended":[409],"general":[411],"diseases.":[417]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":13},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-23T06:36:01.041984","created_date":"2025-10-10T00:00:00"}