{"id":"https://openalex.org/W3128640632","doi":"https://doi.org/10.1093/jamia/ocaa336","title":"Predicting pressure injury using nursing assessment phenotypes and machine learning methods","display_name":"Predicting pressure injury using nursing assessment phenotypes and machine learning methods","publication_year":2020,"publication_date":"2020-12-30","ids":{"openalex":"https://openalex.org/W3128640632","doi":"https://doi.org/10.1093/jamia/ocaa336","mag":"3128640632","pmid":"https://pubmed.ncbi.nlm.nih.gov/33517452"},"language":"en","primary_location":{"id":"doi:10.1093/jamia/ocaa336","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocaa336","pdf_url":"https://academic.oup.com/jamia/article-pdf/28/4/759/36642068/ocaa336.pdf","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":"bronze","oa_url":"https://academic.oup.com/jamia/article-pdf/28/4/759/36642068/ocaa336.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051376406","display_name":"Wenyu Song","orcid":"https://orcid.org/0000-0001-6146-4093"},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283280774","https://openalex.org/I48633490"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenyu Song","raw_affiliation_strings":["Department of Medicine, Brigham & Women\u2019s Hospital, Boston, Massachusetts, USA","Harvard Medical School, Boston, Massachusetts, USA","Department of Medicine, Brigham & Women's Hospital, Boston, Massachusetts, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medicine, Brigham & Women\u2019s Hospital, Boston, Massachusetts, USA","institution_ids":["https://openalex.org/I1283280774"]},{"raw_affiliation_string":"Harvard Medical School, Boston, Massachusetts, USA","institution_ids":["https://openalex.org/I136199984"]},{"raw_affiliation_string":"Department of Medicine, Brigham & Women's Hospital, Boston, Massachusetts, USA","institution_ids":["https://openalex.org/I1283280774"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019037276","display_name":"Min\u2010Jeoung Kang","orcid":"https://orcid.org/0000-0001-9130-3741"},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283280774","https://openalex.org/I48633490"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Min-Jeoung Kang","raw_affiliation_strings":["Department of Medicine, Brigham & Women\u2019s Hospital, Boston, Massachusetts, USA","Harvard Medical School, Boston, Massachusetts, USA","Department of Medicine, Brigham & Women's Hospital, Boston, Massachusetts, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medicine, Brigham & Women\u2019s Hospital, Boston, Massachusetts, USA","institution_ids":["https://openalex.org/I1283280774"]},{"raw_affiliation_string":"Harvard Medical School, Boston, Massachusetts, USA","institution_ids":["https://openalex.org/I136199984"]},{"raw_affiliation_string":"Department of Medicine, Brigham & Women's Hospital, Boston, Massachusetts, USA","institution_ids":["https://openalex.org/I1283280774"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085167653","display_name":"Linying Zhang","orcid":"https://orcid.org/0000-0002-4356-4645"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Linying Zhang","raw_affiliation_strings":["Department of Biomedical Informatics, Columbia University, New York, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, Columbia University, New York, New York, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029547628","display_name":"Wonkyung Jung","orcid":"https://orcid.org/0000-0002-2778-8710"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wonkyung Jung","raw_affiliation_strings":["School of Nursing, University of Washington, Seattle, Washington, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Nursing, University of Washington, Seattle, Washington, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001800464","display_name":"Jiyoun Song","orcid":"https://orcid.org/0000-0003-0362-0670"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiyoun Song","raw_affiliation_strings":["School of Nursing, Columbia University, New York, New York, USA"],"raw_orcid":"https://orcid.org/0000-0003-0362-0670","affiliations":[{"raw_affiliation_string":"School of Nursing, Columbia University, New York, New York, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023058464","display_name":"David O. Bates","orcid":"https://orcid.org/0000-0003-4850-2360"},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283280774","https://openalex.org/I48633490"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I48633490","display_name":"Mass General Brigham","ror":"https://ror.org/04py2rh25","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David W Bates","raw_affiliation_strings":["Department of Medicine, Brigham & Women\u2019s Hospital, Boston, Massachusetts, USA","Harvard Medical School, Boston, Massachusetts, USA","Mass General Brigham, Boston, Massachusetts, USA","Department of Medicine, Brigham & Women's Hospital, Boston, Massachusetts, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medicine, Brigham & Women\u2019s Hospital, Boston, Massachusetts, USA","institution_ids":["https://openalex.org/I1283280774"]},{"raw_affiliation_string":"Harvard Medical School, Boston, Massachusetts, USA","institution_ids":["https://openalex.org/I136199984"]},{"raw_affiliation_string":"Mass General Brigham, Boston, Massachusetts, USA","institution_ids":["https://openalex.org/I48633490"]},{"raw_affiliation_string":"Department of Medicine, Brigham & Women's Hospital, Boston, Massachusetts, USA","institution_ids":["https://openalex.org/I1283280774"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055661680","display_name":"Patricia C. Dykes","orcid":"https://orcid.org/0000-0003-4597-0732"},"institutions":[{"id":"https://openalex.org/I1283280774","display_name":"Brigham and Women's Hospital","ror":"https://ror.org/04b6nzv94","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283280774","https://openalex.org/I48633490"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I48633490","display_name":"Mass General Brigham","ror":"https://ror.org/04py2rh25","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Patricia C Dykes","raw_affiliation_strings":["Department of Medicine, Brigham & Women\u2019s Hospital, Boston, Massachusetts, USA","Harvard Medical School, Boston, Massachusetts, USA","Mass General Brigham, Boston, Massachusetts, USA","Department of Medicine, Brigham & Women's Hospital, Boston, Massachusetts, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medicine, Brigham & Women\u2019s Hospital, Boston, Massachusetts, USA","institution_ids":["https://openalex.org/I1283280774"]},{"raw_affiliation_string":"Harvard Medical School, Boston, Massachusetts, USA","institution_ids":["https://openalex.org/I136199984"]},{"raw_affiliation_string":"Mass General Brigham, Boston, Massachusetts, USA","institution_ids":["https://openalex.org/I48633490"]},{"raw_affiliation_string":"Department of Medicine, Brigham & Women's Hospital, Boston, Massachusetts, USA","institution_ids":["https://openalex.org/I1283280774"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5019037276"],"corresponding_institution_ids":["https://openalex.org/I1283280774","https://openalex.org/I136199984"],"apc_list":{"value":3967,"currency":"USD","value_usd":3967},"apc_paid":null,"fwci":14.1958,"has_fulltext":false,"cited_by_count":68,"citation_normalized_percentile":{"value":0.9928938,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"28","issue":"4","first_page":"759","last_page":"765"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11670","display_name":"Pressure Ulcer Prevention and Management","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/3609","display_name":"Occupational Therapy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11670","display_name":"Pressure Ulcer Prevention and Management","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/3609","display_name":"Occupational Therapy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12769","display_name":"Stoma care and complications","score":0.0013000000035390258,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T11080","display_name":"Surgical site infection prevention","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/medicine","display_name":"Medicine","score":0.5829975008964539},{"id":"https://openalex.org/keywords/pressure-injury","display_name":"Pressure injury","score":0.5466195344924927},{"id":"https://openalex.org/keywords/glasgow-coma-scale","display_name":"Glasgow Coma Scale","score":0.5426088571548462},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4875714182853699},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46956777572631836},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4414827525615692},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4309135675430298},{"id":"https://openalex.org/keywords/emergency-medicine","display_name":"Emergency medicine","score":0.3719957768917084},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13298124074935913},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.1169220507144928},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.08197018504142761}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5829975008964539},{"id":"https://openalex.org/C2909464295","wikidata":"https://www.wikidata.org/wiki/Q308978","display_name":"Pressure injury","level":2,"score":0.5466195344924927},{"id":"https://openalex.org/C17624336","wikidata":"https://www.wikidata.org/wiki/Q461644","display_name":"Glasgow Coma Scale","level":2,"score":0.5426088571548462},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4875714182853699},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46956777572631836},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4414827525615692},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4309135675430298},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.3719957768917084},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13298124074935913},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.1169220507144928},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.08197018504142761}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003668","descriptor_name":"Pressure Ulcer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003668","descriptor_name":"Pressure Ulcer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003668","descriptor_name":"Pressure Ulcer","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":"D006760","descriptor_name":"Hospitalization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006760","descriptor_name":"Hospitalization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006760","descriptor_name":"Hospitalization","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":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015399","descriptor_name":"Nursing Research","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015399","descriptor_name":"Nursing Research","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015399","descriptor_name":"Nursing Research","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","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}],"locations_count":3,"locations":[{"id":"doi:10.1093/jamia/ocaa336","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocaa336","pdf_url":"https://academic.oup.com/jamia/article-pdf/28/4/759/36642068/ocaa336.pdf","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:33517452","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33517452","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:7973453","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7973453","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":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":"doi:10.1093/jamia/ocaa336","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocaa336","pdf_url":"https://academic.oup.com/jamia/article-pdf/28/4/759/36642068/ocaa336.pdf","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"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.6399999856948853}],"awards":[{"id":"https://openalex.org/G6245748940","display_name":null,"funder_award_id":"#1R01NR016941-01","funder_id":"https://openalex.org/F4320337353","funder_display_name":"National Institute of Nursing Research"}],"funders":[{"id":"https://openalex.org/F4320337353","display_name":"National Institute of Nursing Research","ror":"https://ror.org/01y3zfr79"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3128640632.pdf","grobid_xml":"https://content.openalex.org/works/W3128640632.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W79323963","https://openalex.org/W1894821576","https://openalex.org/W1911998973","https://openalex.org/W1984952965","https://openalex.org/W2007166182","https://openalex.org/W2017342490","https://openalex.org/W2058407709","https://openalex.org/W2070080552","https://openalex.org/W2110097053","https://openalex.org/W2140467410","https://openalex.org/W2153264369","https://openalex.org/W2167180770","https://openalex.org/W2171114472","https://openalex.org/W2286738351","https://openalex.org/W2332996971","https://openalex.org/W2555319535","https://openalex.org/W2601917368","https://openalex.org/W2727607233","https://openalex.org/W2887368792","https://openalex.org/W2898849586","https://openalex.org/W2910554271","https://openalex.org/W2913345157","https://openalex.org/W2946165871","https://openalex.org/W2971877400","https://openalex.org/W2986940917","https://openalex.org/W3046447641","https://openalex.org/W6603228373","https://openalex.org/W6680683755","https://openalex.org/W6730131638","https://openalex.org/W6770196830"],"related_works":["https://openalex.org/W1837011436","https://openalex.org/W2811310582","https://openalex.org/W2581082145","https://openalex.org/W24573175","https://openalex.org/W1983474538","https://openalex.org/W4389464281","https://openalex.org/W2964442183","https://openalex.org/W2772147362","https://openalex.org/W3125802064","https://openalex.org/W2264821109"],"abstract_inverted_index":{"OBJECTIVE:":[0],"Pressure":[1],"injuries":[2],"are":[3],"common":[4],"and":[5,21,31,43,45,68,156,177,196,202],"serious":[6],"complications":[7],"for":[8,128,146,185,224],"hospitalized":[9],"patients.":[10],"The":[11,190,209],"pressure":[12,35,51,129,141,151,159,187,232,244],"injury":[13,36,52,142,152,160,188,233,245],"rate":[14],"is":[15],"an":[16,22,198],"important":[17,222],"patient":[18,93],"safety":[19],"metric":[20],"indicator":[23],"of":[24,27,34,82,171,200,216],"the":[25,80,220],"quality":[26],"nursing":[28],"care.":[29],"Timely":[30],"accurate":[32],"prediction":[33,126],"risk":[37,53],"can":[38],"significantly":[39],"facilitate":[40],"early":[41],"prevention":[42],"treatment":[44],"avoid":[46],"adverse":[47],"outcomes.":[48],"While":[49],"many":[50],"assessment":[54,94,106],"tools":[55],"exist,":[56],"most":[57,221],"were":[58,144,175,183],"developed":[59,184],"before":[60],"there":[61],"was":[62,133,219],"access":[63],"to":[64,122,135],"large":[65,118],"clinical":[66,167,173],"datasets":[67],"advanced":[69],"statistical":[70],"methods,":[71],"limiting":[72],"their":[73],"accuracy.":[74],"In":[75],"this":[76],"paper,":[77],"we":[78],"describe":[79],"development":[81,234],"machine":[83,124,179],"learning-based":[84,125],"predictive":[85,181],"models,":[86],"using":[87],"phenotypes":[88,143],"derived":[89],"from":[90,111],"nurse-entered":[91,214],"direct":[92],"data.":[95],"METHODS:":[96],"We":[97],"utilized":[98],"rich":[99],"electronic":[100],"health":[101],"record":[102],"data,":[103],"including":[104],"full":[105],"records":[107],"entered":[108],"by":[109],"nurses,":[110],"5":[112],"different":[113],"hospitals":[114],"affiliated":[115],"with":[116],"a":[117,213],"integrated":[119],"healthcare":[120],"organization":[121],"develop":[123],"models":[127,182],"injury.":[130],"Five-fold":[131],"cross-validation":[132],"conducted":[134],"evaluate":[136],"model":[137,147,193,229],"performance.":[138],"RESULTS:":[139],"Two":[140],"defined":[145],"development:":[148],"nonhospital":[149],"acquired":[150,158],"(N":[153,161],"=":[154,162],"4398)":[155],"hospital":[157],"1767),":[163],"representing":[164],"2":[165,205],"distinct":[166],"scenarios.":[168],"A":[169],"total":[170],"28":[172],"features":[174],"extracted":[176],"multiple":[178],"learning":[180],"both":[186,225],"phenotypes.":[189],"random":[191],"forest":[192],"performed":[194],"best":[195],"achieved":[197],"AUC":[199],"0.92":[201],"0.94":[203],"in":[204,242],"test":[206],"sets,":[207],"respectively.":[208],"Glasgow":[210],"coma":[211],"scale,":[212],"level":[215],"consciousness":[217],"measurement,":[218],"feature":[223],"groups.":[226],"CONCLUSIONS:":[227],"This":[228],"accurately":[230],"predicts":[231],"and,":[235],"if":[236],"validated":[237],"externally,":[238],"may":[239],"be":[240],"helpful":[241],"widespread":[243],"prevention.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-10T00:00:00"}