{"id":"https://openalex.org/W7160947711","doi":"https://doi.org/10.1136/bmjopen-2025-113384","title":"Prediction of inpatient falls and key predictors using machine learning applied to electronic health records: a retrospective cohort study in a tertiary hospital in T\u00fcrkiye","display_name":"Prediction of inpatient falls and key predictors using machine learning applied to electronic health records: a retrospective cohort study in a tertiary hospital in T\u00fcrkiye","publication_year":2026,"publication_date":"2026-05-01","ids":{"openalex":"https://openalex.org/W7160947711","doi":"https://doi.org/10.1136/bmjopen-2025-113384","pmid":"https://pubmed.ncbi.nlm.nih.gov/42129985","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/13182380"},"language":"en","primary_location":{"id":"doi:10.1136/bmjopen-2025-113384","doi":"https://doi.org/10.1136/bmjopen-2025-113384","is_oa":true,"landing_page_url":"https://doi.org/10.1136/bmjopen-2025-113384","pdf_url":null,"source":{"id":"https://openalex.org/S79054089","display_name":"BMJ Open","issn_l":"2044-6055","issn":["2044-6055"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-d","doyens","jufo-1","ki-jl-1","medline","norway-1","oarl","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319945","host_organization_name":"BMJ","host_organization_lineage":["https://openalex.org/P4310319945"],"host_organization_lineage_names":["BMJ"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMJ Open","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1136/bmjopen-2025-113384","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002374694","display_name":"Veysel Karani Bar\u0131\u015f","orcid":"https://orcid.org/0000-0001-5322-4081","observed_orcids":["https://orcid.org/0000-0001-5322-4081"]},"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/I121934306","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/I193615760","display_name":"Dokuz Eyl\u00fcl University","ror":"https://ror.org/00dbd8b73","country_code":"TR","type":"education","lineage":["https://openalex.org/I193615760"]}],"countries":["TR","US"],"is_corresponding":true,"raw_author_name":"Veysel Karani Baris","raw_affiliation_strings":["General Internal Medicine, Brigham and Women's Hospital, Harvard University, Boston, MA, USA","Nursing Management, Faculty of Nursing, Dokuz Eylul University, Izmir, Turkey"],"raw_orcid":"https://orcid.org/0000-0001-5322-4081","affiliations":[{"raw_affiliation_string":"General Internal Medicine, Brigham and Women's Hospital, Harvard University, Boston, MA, USA","institution_ids":["https://openalex.org/I1283280774","https://openalex.org/I136199984"]},{"raw_affiliation_string":"Nursing Management, Faculty of Nursing, Dokuz Eylul University, Izmir, Turkey","institution_ids":["https://openalex.org/I193615760"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011151810","display_name":"Burcu H\u00fcdaverdi","orcid":"https://orcid.org/0000-0002-6939-9668","observed_orcids":["https://orcid.org/0000-0002-6939-9668"]},"institutions":[{"id":"https://openalex.org/I193615760","display_name":"Dokuz Eyl\u00fcl University","ror":"https://ror.org/00dbd8b73","country_code":"TR","type":"education","lineage":["https://openalex.org/I193615760"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Burcu Hudaverdi","raw_affiliation_strings":["Department of Statistic, Faculty of Sciences, Dokuz Eylul University, Izmir, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistic, Faculty of Sciences, Dokuz Eylul University, Izmir, Turkey","institution_ids":["https://openalex.org/I193615760"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002374694"],"corresponding_institution_ids":["https://openalex.org/I1283280774","https://openalex.org/I136199984","https://openalex.org/I193615760"],"apc_list":{"value":1500,"currency":"GBP","value_usd":1839},"apc_paid":{"value":1500,"currency":"GBP","value_usd":1839},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27130011,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":"5","first_page":"e113384","last_page":"e113384"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/3612","display_name":"Physical Therapy, Sports Therapy and Rehabilitation"},"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/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/3612","display_name":"Physical Therapy, Sports Therapy and Rehabilitation"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.0010999999940395355,"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/T10508","display_name":"Patient Safety and Medication Errors","score":0.0010000000474974513,"subfield":{"id":"https://openalex.org/subfields/3604","display_name":"Emergency Medical Services"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inpatient-falls","display_name":"inpatient falls","score":0.9879999756813049},{"id":"https://openalex.org/keywords/fall-risk-prediction","display_name":"fall risk prediction","score":0.9760000109672546},{"id":"https://openalex.org/keywords/risk-factors-for-falls","display_name":"fall risk factors","score":0.6859999895095825},{"id":"https://openalex.org/keywords/electronic-health-records","display_name":"electronic health records","score":0.746999979019165},{"id":"https://openalex.org/keywords/xgboost","display_name":"XGBoost","score":0.6970000267028809},{"id":"https://openalex.org/keywords/comorbidity-burden","display_name":"comorbidity burden","score":0.7490000128746033},{"id":"https://openalex.org/keywords/mental-disorders","display_name":"mental illness","score":0.8190000057220459},{"id":"https://openalex.org/keywords/laboratory-markers","display_name":"laboratory biomarkers","score":0.5680000185966492},{"id":"https://openalex.org/keywords/hospitalized-adults","display_name":"hospitalized adults","score":0.47999998927116394}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.9243000149726868},{"id":"https://openalex.org/C167135981","wikidata":"https://www.wikidata.org/wiki/Q2146302","display_name":"Retrospective cohort study","level":2,"score":0.7390000224113464},{"id":"https://openalex.org/C2779159551","wikidata":"https://www.wikidata.org/wiki/Q1414874","display_name":"Comorbidity","level":2,"score":0.5414999723434448},{"id":"https://openalex.org/C3020144179","wikidata":"https://www.wikidata.org/wiki/Q10871684","display_name":"Electronic health record","level":3,"score":0.4560999870300293},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.4311000108718872},{"id":"https://openalex.org/C3019952477","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Health records","level":3,"score":0.4115999937057495},{"id":"https://openalex.org/C201903717","wikidata":"https://www.wikidata.org/wiki/Q1778788","display_name":"Cohort study","level":2,"score":0.40869998931884766},{"id":"https://openalex.org/C3017944768","wikidata":"https://www.wikidata.org/wiki/Q1450463","display_name":"Poison control","level":2,"score":0.39969998598098755},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.3718000054359436},{"id":"https://openalex.org/C72563966","wikidata":"https://www.wikidata.org/wiki/Q1303415","display_name":"Cohort","level":2,"score":0.3702999949455261},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.3610000014305115},{"id":"https://openalex.org/C190385971","wikidata":"https://www.wikidata.org/wiki/Q373494","display_name":"Injury prevention","level":3,"score":0.35679998993873596},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3400999903678894},{"id":"https://openalex.org/C187155963","wikidata":"https://www.wikidata.org/wiki/Q629029","display_name":"Occupational safety and health","level":2,"score":0.3327000141143799},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.32760000228881836},{"id":"https://openalex.org/C134362201","wikidata":"https://www.wikidata.org/wiki/Q317309","display_name":"Mental health","level":2,"score":0.3012000024318695},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.28610000014305115},{"id":"https://openalex.org/C198433322","wikidata":"https://www.wikidata.org/wiki/Q3910099","display_name":"Predictive value of tests","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C2779328685","wikidata":"https://www.wikidata.org/wiki/Q1475557","display_name":"Patient safety","level":3,"score":0.28060001134872437},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C526869908","wikidata":"https://www.wikidata.org/wiki/Q3298118","display_name":"Suicide prevention","level":3,"score":0.2754000127315521},{"id":"https://openalex.org/C205545832","wikidata":"https://www.wikidata.org/wiki/Q17156455","display_name":"Young adult","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C1862650","wikidata":"https://www.wikidata.org/wiki/Q186005","display_name":"Physical therapy","level":1,"score":0.25929999351501465},{"id":"https://openalex.org/C187212893","wikidata":"https://www.wikidata.org/wiki/Q123028","display_name":"Pediatrics","level":1,"score":0.2587999999523163},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2526000142097473}],"mesh":[{"descriptor_ui":"D000058","descriptor_name":"Accidental Falls","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000093743","descriptor_name":"Random Forest","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098404","descriptor_name":"Boosting Machine Learning Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098412","descriptor_name":"Predictive Learning Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098429","descriptor_name":"Classification Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098437","descriptor_name":"Prediction Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","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":"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":"D007297","descriptor_name":"Inpatients","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"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":"D012189","descriptor_name":"Retrospective Studies","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":"D015897","descriptor_name":"Comorbidity","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":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D062606","descriptor_name":"Tertiary Care Centers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1136/bmjopen-2025-113384","doi":"https://doi.org/10.1136/bmjopen-2025-113384","is_oa":true,"landing_page_url":"https://doi.org/10.1136/bmjopen-2025-113384","pdf_url":null,"source":{"id":"https://openalex.org/S79054089","display_name":"BMJ Open","issn_l":"2044-6055","issn":["2044-6055"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-d","doyens","jufo-1","ki-jl-1","medline","norway-1","oarl","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319945","host_organization_name":"BMJ","host_organization_lineage":["https://openalex.org/P4310319945"],"host_organization_lineage_names":["BMJ"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMJ Open","raw_type":"journal-article"},{"id":"pmid:42129985","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42129985","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,"listed_in":[],"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":"BMJ open","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:13182380","doi":null,"is_oa":true,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42129985/","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,"listed_in":[],"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-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMJ Open","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:006d959aa5b04e5ab692db6463aeb782","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/006d959aa5b04e5ab692db6463aeb782","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,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMJ Open, Vol 16, Iss 5 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1136/bmjopen-2025-113384","doi":"https://doi.org/10.1136/bmjopen-2025-113384","is_oa":true,"landing_page_url":"https://doi.org/10.1136/bmjopen-2025-113384","pdf_url":null,"source":{"id":"https://openalex.org/S79054089","display_name":"BMJ Open","issn_l":"2044-6055","issn":["2044-6055"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-d","doyens","jufo-1","ki-jl-1","medline","norway-1","oarl","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319945","host_organization_name":"BMJ","host_organization_lineage":["https://openalex.org/P4310319945"],"host_organization_lineage_names":["BMJ"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMJ Open","raw_type":"journal-article"},"sustainable_development_goals":[{"score":1.0,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[{"id":"https://openalex.org/study-designs/observational-study","display_name":"Observational Study"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1964940342","https://openalex.org/W2143721482","https://openalex.org/W2148143831","https://openalex.org/W2216946510","https://openalex.org/W2295598076","https://openalex.org/W2525372585","https://openalex.org/W2790467552","https://openalex.org/W2792535583","https://openalex.org/W2794628723","https://openalex.org/W2806857802","https://openalex.org/W2889850953","https://openalex.org/W2916048747","https://openalex.org/W2995598981","https://openalex.org/W3017605402","https://openalex.org/W3041356767","https://openalex.org/W3058477796","https://openalex.org/W3097891538","https://openalex.org/W3117882443","https://openalex.org/W3169174413","https://openalex.org/W3170978381","https://openalex.org/W3185256938","https://openalex.org/W4200538865","https://openalex.org/W4256717407","https://openalex.org/W4285011154","https://openalex.org/W4290731422","https://openalex.org/W4290744487","https://openalex.org/W4296713933","https://openalex.org/W4298086991","https://openalex.org/W4306382016","https://openalex.org/W4311543603","https://openalex.org/W4365138750","https://openalex.org/W4382318695","https://openalex.org/W4383619745","https://openalex.org/W4388035379","https://openalex.org/W4393903776","https://openalex.org/W4399510660"],"related_works":["https://openalex.org/W3087375354","https://openalex.org/W3010369769","https://openalex.org/W4414871738","https://openalex.org/W4290744487","https://openalex.org/W4416592803","https://openalex.org/W4388902187","https://openalex.org/W7202357247","https://openalex.org/W4415063376","https://openalex.org/W7202355771","https://openalex.org/W4365138750"],"abstract_inverted_index":{"OBJECTIVE:":[0],"Traditional":[1],"fall":[2,258],"risk":[3,245,259],"tools":[4],"are":[5],"often":[6],"inaccurate":[7],"and":[8,21,62,85,109,128,169,212,218,225,242],"burdensome.":[9],"This":[10],"study":[11],"aims":[12],"to":[13,31,119,158,167,175],"develop":[14],"a":[15,56,130,253],"predictive":[16],"model":[17],"for":[18,256],"inpatient":[19,70,240],"falls":[20,71,241],"identify":[22],"the":[23,146,151],"most":[24],"influential":[25],"variables":[26,214],"using":[27,179,234],"machine":[28],"learning":[29,232],"applied":[30],"electronic":[32,235],"health":[33,236],"record":[34],"data.":[35],"DESIGN:":[36],"A":[37,42,78],"retrospective":[38],"cohort":[39],"study.":[40],"SETTING:":[41],"large":[43],"tertiary":[44],"university":[45,57],"hospital":[46,58,102],"in":[47,55,73,261],"T\u00fcrkiye.":[48],"PARTICIPANTS:":[49],"Adult":[50],"patients":[51],"(\u226518":[52],"years)":[53],"hospitalised":[54],"between":[59],"January":[60],"2017":[61],"June":[63],"2023.":[64],"PRIMARY":[65],"OUTCOME":[66],"MEASURES:":[67],"Occurrence":[68],"of":[69,80,133,209],"recorded":[72],"incident":[74],"reporting":[75],"systems.":[76],"RESULTS:":[77],"total":[79],"518":[81],"fallers":[82],"were":[83,91,115,198],"identified":[84],"compared":[86,186],"with":[87,160,187,194],"3121":[88],"non-fallers.":[89],"Fallers":[90],"significantly":[92,183],"older":[93],"(median":[94],"68.5":[95],"vs":[96,105,125,137],"64":[97],"years,":[98],"p<0.001),":[99],"had":[100,129],"longer":[101],"stays":[103],"(16":[104],"12":[106],"days,":[107],"p<0.001)":[108,127],"higher":[110,131,184],"comorbidity":[111,205],"burden":[112],"(p<0.001).":[113],"They":[114],"also":[116],"more":[117],"likely":[118],"receive":[120],"high":[121],"fall-risk":[122],"medications":[123,211],"(86%":[124],"76%,":[126],"prevalence":[132],"mental":[134],"disorders":[135],"(26.3%":[136],"17.2%,":[138],"p<0.001).":[139],"The":[140,247],"random":[141,248],"forest":[142,249],"quantile":[143,250],"classifier":[144,251],"demonstrated":[145],"highest":[147],"discrimination":[148],"(area":[149],"under":[150],"curve":[152],"(AUC)":[153],"0.821,":[154],"95%":[155,164,172],"CI":[156,165,173],"0.781":[157],"0.861),":[159],"balanced":[161],"sensitivity":[162],"(0.799,":[163],"0.734":[166],"0.867)":[168],"specificity":[170],"(0.722,":[171],"0.691":[174],"0.755).":[176],"Pairwise":[177],"comparisons":[178],"DeLong's":[180],"test":[181],"showed":[182],"AUC":[185],"several":[188],"models":[189,233],"(adjusted":[190],"p=0.001),":[191],"while":[192],"differences":[193],"eXtreme":[195],"Gradient":[196],"Boosting":[197],"not":[199],"significant":[200],"(p=0.240).":[201],"Key":[202],"predictors":[203],"included":[204],"burden,":[206],"age,":[207],"number":[208],"fall-risk-increasing":[210],"laboratory":[213],"such":[215],"as":[216],"eosinophil":[217],"basophil":[219],"counts,":[220],"blood":[221,227],"urea":[222],"nitrogen,":[223],"sodium":[224],"red":[226],"cell":[228],"count.":[229],"CONCLUSION:":[230],"Machine":[231],"data":[237],"can":[238],"predict":[239],"reveal":[243],"key":[244],"factors.":[246],"offers":[252],"promising":[254],"approach":[255],"improving":[257],"prediction":[260],"imbalanced":[262],"clinical":[263],"datasets.":[264]},"counts_by_year":[],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2026-05-13T00:00:00"}