{"id":"https://openalex.org/W4280578286","doi":"https://doi.org/10.1186/s12911-022-01864-z","title":"Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening","display_name":"Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening","publication_year":2022,"publication_date":"2022-05-12","ids":{"openalex":"https://openalex.org/W4280578286","doi":"https://doi.org/10.1186/s12911-022-01864-z","pmid":"https://pubmed.ncbi.nlm.nih.gov/35549702"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-022-01864-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-022-01864-z","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-022-01864-z","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-022-01864-z","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069586108","display_name":"Robert B. Penfold","orcid":"https://orcid.org/0000-0003-4795-7902"},"institutions":[{"id":"https://openalex.org/I150117356","display_name":"Kaiser Permanente Washington Health Research Institute","ror":"https://ror.org/0027frf26","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I150117356"]},{"id":"https://openalex.org/I4210087846","display_name":"Kaiser Permanente Washington Health Research Institute","ror":null,"country_code":"US","type":null,"lineage":["https://openalex.org/I4210087846"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Robert B. Penfold","raw_affiliation_strings":["Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave., Suite 1600, Seattle, WA, 98101, USA. robert.b.penfold@kp.org","Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave., Suite 1600, Seattle, WA, 98101, USA"],"raw_orcid":"https://orcid.org/0000-0003-4795-7902","affiliations":[{"raw_affiliation_string":"Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave., Suite 1600, Seattle, WA, 98101, USA. robert.b.penfold@kp.org","institution_ids":["https://openalex.org/I4210087846"]},{"raw_affiliation_string":"Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave., Suite 1600, Seattle, WA, 98101, USA","institution_ids":["https://openalex.org/I150117356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041212198","display_name":"David Carrell","orcid":"https://orcid.org/0000-0002-8471-0928"},"institutions":[{"id":"https://openalex.org/I150117356","display_name":"Kaiser Permanente Washington Health Research Institute","ror":"https://ror.org/0027frf26","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I150117356"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David S. Carrell","raw_affiliation_strings":["Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave., Suite 1600, Seattle, WA, 98101, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave., Suite 1600, Seattle, WA, 98101, USA","institution_ids":["https://openalex.org/I150117356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054315152","display_name":"David Cronkite","orcid":"https://orcid.org/0000-0002-2797-5102"},"institutions":[{"id":"https://openalex.org/I150117356","display_name":"Kaiser Permanente Washington Health Research Institute","ror":"https://ror.org/0027frf26","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I150117356"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David J. Cronkite","raw_affiliation_strings":["Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave., Suite 1600, Seattle, WA, 98101, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave., Suite 1600, Seattle, WA, 98101, USA","institution_ids":["https://openalex.org/I150117356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090181720","display_name":"Chester Pabiniak","orcid":"https://orcid.org/0000-0003-2498-4414"},"institutions":[{"id":"https://openalex.org/I150117356","display_name":"Kaiser Permanente Washington Health Research Institute","ror":"https://ror.org/0027frf26","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I150117356"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chester Pabiniak","raw_affiliation_strings":["Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave., Suite 1600, Seattle, WA, 98101, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave., Suite 1600, Seattle, WA, 98101, USA","institution_ids":["https://openalex.org/I150117356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046036002","display_name":"Tammy Dodd","orcid":null},"institutions":[{"id":"https://openalex.org/I150117356","display_name":"Kaiser Permanente Washington Health Research Institute","ror":"https://ror.org/0027frf26","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I150117356"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tammy Dodd","raw_affiliation_strings":["Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave., Suite 1600, Seattle, WA, 98101, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave., Suite 1600, Seattle, WA, 98101, USA","institution_ids":["https://openalex.org/I150117356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049139761","display_name":"Ashley MH Glass","orcid":null},"institutions":[{"id":"https://openalex.org/I150117356","display_name":"Kaiser Permanente Washington Health Research Institute","ror":"https://ror.org/0027frf26","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I150117356"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ashley MH Glass","raw_affiliation_strings":["Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave., Suite 1600, Seattle, WA, 98101, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave., Suite 1600, Seattle, WA, 98101, USA","institution_ids":["https://openalex.org/I150117356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103159615","display_name":"Eric Johnson","orcid":"https://orcid.org/0000-0002-9144-2095"},"institutions":[{"id":"https://openalex.org/I150117356","display_name":"Kaiser Permanente Washington Health Research Institute","ror":"https://ror.org/0027frf26","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I150117356"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric Johnson","raw_affiliation_strings":["Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave., Suite 1600, Seattle, WA, 98101, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave., Suite 1600, Seattle, WA, 98101, USA","institution_ids":["https://openalex.org/I150117356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047191777","display_name":"Ella Thompson","orcid":"https://orcid.org/0000-0002-2022-7718"},"institutions":[{"id":"https://openalex.org/I150117356","display_name":"Kaiser Permanente Washington Health Research Institute","ror":"https://ror.org/0027frf26","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I150117356"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ella Thompson","raw_affiliation_strings":["Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave., Suite 1600, Seattle, WA, 98101, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave., Suite 1600, Seattle, WA, 98101, USA","institution_ids":["https://openalex.org/I150117356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058984019","display_name":"H. Michael Arrighi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151386","display_name":"Janssen (United States)","ror":"https://ror.org/05af73403","country_code":"US","type":"company","lineage":["https://openalex.org/I1330063522","https://openalex.org/I4210151386"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. Michael Arrighi","raw_affiliation_strings":["Janssen Research and Development, LLC, Raritan, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Janssen Research and Development, LLC, Raritan, USA","institution_ids":["https://openalex.org/I4210151386"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010734315","display_name":"Paul Stang","orcid":"https://orcid.org/0000-0002-9528-9657"},"institutions":[{"id":"https://openalex.org/I4210151386","display_name":"Janssen (United States)","ror":"https://ror.org/05af73403","country_code":"US","type":"company","lineage":["https://openalex.org/I1330063522","https://openalex.org/I4210151386"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul E. Stang","raw_affiliation_strings":["Janssen Research and Development, LLC, Raritan, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Janssen Research and Development, LLC, Raritan, USA","institution_ids":["https://openalex.org/I4210151386"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5069586108"],"corresponding_institution_ids":["https://openalex.org/I150117356","https://openalex.org/I4210087846"],"apc_list":{"value":1570,"currency":"GBP","value_usd":1925},"apc_paid":{"value":1570,"currency":"GBP","value_usd":1925},"fwci":4.6274,"has_fulltext":true,"cited_by_count":37,"citation_normalized_percentile":{"value":0.96083995,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"22","issue":"1","first_page":"129","last_page":"129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10009","display_name":"Dementia and Cognitive Impairment Research","score":0.8672999739646912,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10009","display_name":"Dementia and Cognitive Impairment Research","score":0.8672999739646912,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.02889999933540821,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11763","display_name":"Intracerebral and Subarachnoid Hemorrhage Research","score":0.00930000003427267,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cohort","display_name":"Cohort","score":0.5649328827857971},{"id":"https://openalex.org/keywords/dementia","display_name":"Dementia","score":0.5553850531578064},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5548737645149231},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5465604066848755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.525718629360199},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.4599120020866394},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.4422772526741028},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.43547946214675903},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4264141917228699},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.30894187092781067},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.27064812183380127},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.17127981781959534}],"concepts":[{"id":"https://openalex.org/C72563966","wikidata":"https://www.wikidata.org/wiki/Q1303415","display_name":"Cohort","level":2,"score":0.5649328827857971},{"id":"https://openalex.org/C2779483572","wikidata":"https://www.wikidata.org/wiki/Q83030","display_name":"Dementia","level":3,"score":0.5553850531578064},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5548737645149231},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5465604066848755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.525718629360199},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.4599120020866394},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.4422772526741028},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43547946214675903},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4264141917228699},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.30894187092781067},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.27064812183380127},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.17127981781959534},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","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":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"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":"D008403","descriptor_name":"Mass Screening","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008403","descriptor_name":"Mass Screening","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008403","descriptor_name":"Mass Screening","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008403","descriptor_name":"Mass Screening","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":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","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":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060825","descriptor_name":"Cognitive Dysfunction","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D060825","descriptor_name":"Cognitive Dysfunction","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D060825","descriptor_name":"Cognitive Dysfunction","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D060825","descriptor_name":"Cognitive Dysfunction","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12911-022-01864-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-022-01864-z","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-022-01864-z","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},{"id":"pmid:35549702","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35549702","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":"BMC medical informatics and decision making","raw_type":null},{"id":"pmh:oai:doaj.org/article:73ad7e3a31144549b1af37d67416973c","is_oa":false,"landing_page_url":"https://doaj.org/article/73ad7e3a31144549b1af37d67416973c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-13 (2022)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9097352","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9097352","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Inform Decis Mak","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12911-022-01864-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-022-01864-z","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-022-01864-z","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G3677674694","display_name":null,"funder_award_id":"U01 AG006781","funder_id":"https://openalex.org/F4320337337","funder_display_name":"National Institute on Aging"},{"id":"https://openalex.org/G6195329552","display_name":null,"funder_award_id":"993704601","funder_id":"https://openalex.org/F4320337415","funder_display_name":"Janssen Research and Development"}],"funders":[{"id":"https://openalex.org/F4320337337","display_name":"National Institute on Aging","ror":"https://ror.org/049v75w11"},{"id":"https://openalex.org/F4320337415","display_name":"Janssen Research and Development","ror":"https://ror.org/03qd7mz70"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4280578286.pdf","grobid_xml":"https://content.openalex.org/works/W4280578286.grobid-xml"},"referenced_works_count":75,"referenced_works":["https://openalex.org/W1247341648","https://openalex.org/W1600791756","https://openalex.org/W1622836462","https://openalex.org/W1847168837","https://openalex.org/W1968551454","https://openalex.org/W1977375832","https://openalex.org/W1978394996","https://openalex.org/W1983644777","https://openalex.org/W1988761237","https://openalex.org/W2003608175","https://openalex.org/W2008434289","https://openalex.org/W2008854521","https://openalex.org/W2037349090","https://openalex.org/W2038575377","https://openalex.org/W2044975042","https://openalex.org/W2046326055","https://openalex.org/W2051063043","https://openalex.org/W2051386649","https://openalex.org/W2054881009","https://openalex.org/W2058161128","https://openalex.org/W2068136564","https://openalex.org/W2097360283","https://openalex.org/W2098500495","https://openalex.org/W2100353749","https://openalex.org/W2102677192","https://openalex.org/W2108926742","https://openalex.org/W2116698967","https://openalex.org/W2124373862","https://openalex.org/W2126259328","https://openalex.org/W2133488570","https://openalex.org/W2135046866","https://openalex.org/W2136914353","https://openalex.org/W2137554996","https://openalex.org/W2145022622","https://openalex.org/W2148080316","https://openalex.org/W2151654631","https://openalex.org/W2152763512","https://openalex.org/W2165758561","https://openalex.org/W2166889936","https://openalex.org/W2167311298","https://openalex.org/W2168499550","https://openalex.org/W2227283299","https://openalex.org/W2260469296","https://openalex.org/W2266408826","https://openalex.org/W2281018379","https://openalex.org/W2281498324","https://openalex.org/W2306793661","https://openalex.org/W2314796676","https://openalex.org/W2405992462","https://openalex.org/W2466929511","https://openalex.org/W2477458774","https://openalex.org/W2521559955","https://openalex.org/W2523726105","https://openalex.org/W2568818165","https://openalex.org/W2575824869","https://openalex.org/W2603859357","https://openalex.org/W2605015761","https://openalex.org/W2610099722","https://openalex.org/W2621774759","https://openalex.org/W2626788009","https://openalex.org/W2760764312","https://openalex.org/W2766009750","https://openalex.org/W2770930749","https://openalex.org/W2782975604","https://openalex.org/W2789310523","https://openalex.org/W2790715535","https://openalex.org/W2793736115","https://openalex.org/W2795312495","https://openalex.org/W2807396443","https://openalex.org/W2809705582","https://openalex.org/W2897877119","https://openalex.org/W3113351241","https://openalex.org/W4255545359","https://openalex.org/W4294541781","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W4385649027","https://openalex.org/W2409059799","https://openalex.org/W364817481","https://openalex.org/W1972242255","https://openalex.org/W2890927416","https://openalex.org/W2775021631","https://openalex.org/W2128765271","https://openalex.org/W2966412519","https://openalex.org/W2386767720","https://openalex.org/W2066363065"],"abstract_inverted_index":{"BACKGROUND:":[0],"Patients":[1],"and":[2,49,67,104,157,187,205,232,292],"their":[3],"loved":[4],"ones":[5],"often":[6],"report":[7],"symptoms":[8],"or":[9,25,54,82,132],"complaints":[10],"of":[11,72,80,92,111,128,134,189,270,284,287,290,294,306,321,330],"cognitive":[12,46,119,163],"decline":[13],"that":[14,35,344],"clinicians":[15],"note":[16],"in":[17,77,96,100,107,257,296,348],"free":[18],"clinical":[19,75,349],"text,":[20],"but":[21],"no":[22],"structured":[23,84],"screening":[24,81],"diagnostic":[26,85],"data":[27,260],"are":[28,345],"recorded.":[29],"These":[30],"symptoms/complaints":[31],"may":[32],"be":[33,42],"signals":[34],"predict":[36,175],"who":[37],"will":[38],"go":[39],"on":[40,183],"to":[41,60,142,152,161,174,212,243,341],"diagnosed":[43],"with":[44,125,194,217,264],"mild":[45],"impairment":[47],"(MCI)":[48],"ultimately":[50],"develop":[51,61],"Alzheimer's":[52,129],"Disease":[53],"related":[55],"dementias.":[56],"Our":[57],"objective":[58],"was":[59,150,181,262,311,316],"a":[62,126,162,201,214],"natural":[63],"language":[64],"processing":[65],"system":[66,171],"prediction":[68,179,215,221],"model":[69,180,216,231,245,255,310],"for":[70,197,275,324],"identification":[71],"MCI":[73,218,234,252],"from":[74,155,168,228,235],"text":[76],"the":[78,97,108,144,169,184,190,220,224,229,258,268,273,280,297,304,307],"absence":[79],"other":[83],"information.":[86],"METHODS:":[87],"There":[88],"were":[89,172],"two":[90],"populations":[91],"patients:":[93],"1794":[94],"participants":[95],"Adult":[98],"Changes":[99],"Thought":[101],"(ACT)":[102],"study":[103],"2391":[105],"patients":[106,124],"general":[109,191],"population":[110,192],"Kaiser":[112],"Permanente":[113],"Washington.":[114],"All":[115],"individuals":[116],"had":[117],"standardized":[118,236],"assessment":[120],"scores.":[121],"We":[122,136,199],"excluded":[123],"diagnosis":[127],"Disease,":[130],"Dementia":[131],"use":[133],"donepezil.":[135],"manually":[137],"annotated":[138],"10,391":[139],"clinic":[140],"notes":[141,156],"train":[143],"NLP":[145,170],"model.":[146],"Standard":[147],"Python":[148],"code":[149],"used":[151,173,200,323,347],"extract":[153],"phrases":[154],"map":[158],"each":[159],"phrase":[160],"functioning":[164],"concept.":[165],"Concepts":[166],"derived":[167],"future":[176],"MCI.":[177],"The":[178],"trained":[182],"ACT":[185],"cohort":[186,193],"60%":[188],"40%":[195],"withheld":[196],"validation.":[198],"least":[202],"absolute":[203],"shrinkage":[204],"selection":[206],"operator":[207],"logistic":[208],"regression":[209],"approach":[210],"(LASSO)":[211],"fit":[213],"as":[219],"target.":[222],"Using":[223],"predicted":[225],"case":[226],"status":[227],"LASSO":[230],"known":[233],"scores,":[237],"we":[238],"constructed":[239],"receiver":[240],"operating":[241],"curves":[242],"measure":[244],"performance.":[246],"RESULTS:":[247],"Chart":[248],"abstraction":[249],"identified":[250],"42":[251],"concepts.":[253],"Prediction":[254],"performance":[256],"validation":[259,298],"set":[261],"modest":[263],"an":[265,318,328],"area":[266],"under":[267],"curve":[269],"0.67.":[271],"Setting":[272],"cutoff":[274],"correct":[276],"classification":[277],"at":[278],"0.60,":[279],"classifier":[281],"yielded":[282],"sensitivity":[283,305],"1.7%,":[285],"specificity":[286],"99.7%,":[288],"PPV":[289],"70%":[291],"NPV":[293],"70.5%":[295],"cohort.":[299],"DISCUSSION":[300],"AND":[301],"CONCLUSION:":[302],"Although":[303],"machine":[308],"learning":[309],"poor,":[312],"negative":[313],"predictive":[314],"value":[315],"high,":[317],"important":[319],"characteristic":[320],"models":[322],"population-based":[325],"screening.":[326],"While":[327],"AUC":[329],"0.67":[331],"is":[332,338],"generally":[333],"considered":[334],"moderate":[335],"performance,":[336],"it":[337],"also":[339],"comparable":[340],"several":[342],"tests":[343],"widely":[346],"practice.":[350]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-24T13:16:06.693445","created_date":"2025-10-10T00:00:00"}
