{"id":"https://openalex.org/W7123700911","doi":"https://doi.org/10.48550/arxiv.2601.07685","title":"Predictive Analytics for Dementia: Machine Learning on Healthcare Data","display_name":"Predictive Analytics for Dementia: Machine Learning on Healthcare Data","publication_year":2026,"publication_date":"2026-01-12","ids":{"openalex":"https://openalex.org/W7123700911","doi":"https://doi.org/10.48550/arxiv.2601.07685"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2601.07685","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.07685","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2601.07685","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5117235462","display_name":"Shafiul Ajam Opee","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Opee, Shafiul Ajam","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122961798","display_name":"Nafiz Fahad","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fahad, Nafiz","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108903970","display_name":"Anik Sen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sen, Anik","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101851666","display_name":"Rasel Ahmed","orcid":"https://orcid.org/0009-0006-5550-2640"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ahmed, Rasel","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122975600","display_name":"Fariha Jahan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jahan, Fariha","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021919229","display_name":"Md. Kishor Morol","orcid":"https://orcid.org/0000-0002-4468-8260"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Morol, Md. Kishor","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5122921447","display_name":"Md Rashedul Islam","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Islam, Md Rashedul","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5117235462"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.6915000081062317,"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"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.6915000081062317,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.07479999959468842,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"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/T10009","display_name":"Dementia and Cognitive Impairment Research","score":0.053599998354911804,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.857200026512146},{"id":"https://openalex.org/keywords/dementia","display_name":"Dementia","score":0.6542999744415283},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6348000168800354},{"id":"https://openalex.org/keywords/predictive-analytics","display_name":"Predictive analytics","score":0.5582000017166138},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.43619999289512634},{"id":"https://openalex.org/keywords/quadratic-classifier","display_name":"Quadratic classifier","score":0.4120999872684479},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.41190001368522644},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.3840999901294708},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.37720000743865967}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.857200026512146},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7706999778747559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7476000189781189},{"id":"https://openalex.org/C2779483572","wikidata":"https://www.wikidata.org/wiki/Q83030","display_name":"Dementia","level":3,"score":0.6542999744415283},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6348000168800354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6126999855041504},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.5582000017166138},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.43619999289512634},{"id":"https://openalex.org/C52620605","wikidata":"https://www.wikidata.org/wiki/Q7268357","display_name":"Quadratic classifier","level":3,"score":0.4120999872684479},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.41190001368522644},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.3840999901294708},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.37720000743865967},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3666999936103821},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.3343000113964081},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3330000042915344},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.3285999894142151},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.322299987077713},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30309998989105225},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.28369998931884766},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.2612999975681305},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.26089999079704285}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2601.07685","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.07685","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2601.07685","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.07685","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7259765267372131}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Dementia":[0],"is":[1],"a":[2],"complex":[3],"syndrome":[4],"impacting":[5],"cognitive":[6],"and":[7,54,62,74,102,117],"emotional":[8],"functions,":[9],"with":[10,107],"Alzheimer's":[11],"disease":[12],"being":[13],"the":[14,84,88,97,103,111,114],"most":[15],"common":[16],"form.":[17],"This":[18,94,122],"study":[19,95],"focuses":[20],"on":[21,30],"enhancing":[22],"dementia":[23,106,141],"prediction":[24],"using":[25],"machine":[26],"learning":[27,35],"(ML)":[28],"techniques":[29,66],"patient":[31],"health":[32],"data.":[33],"Supervised":[34],"algorithms":[36],"are":[37],"applied":[38],"in":[39,130,140],"this":[40],"study,":[41],"including":[42],"K-Nearest":[43],"Neighbors":[44],"(KNN),":[45],"Quadratic":[46],"Discriminant":[47,51],"Analysis":[48,52],"(QDA),":[49],"Linear":[50],"(LDA),":[53],"Gaussian":[55],"Process":[56],"Classifiers.":[57],"To":[58],"address":[59],"class":[60],"imbalance":[61],"improve":[63,137],"model":[64,100],"performance,":[65],"such":[67,109],"as":[68,110],"Synthetic":[69],"Minority":[70],"Over-sampling":[71],"Technique":[72],"(SMOTE)":[73],"Term":[75],"Frequency-Inverse":[76],"Document":[77],"Frequency":[78],"(TF-IDF)":[79],"vectorization":[80],"were":[81],"employed.":[82],"Among":[83],"models,":[85],"LDA":[86],"achieved":[87],"highest":[89],"testing":[90],"accuracy":[91],"of":[92,99,105,113],"98%.":[93],"highlights":[96],"importance":[98],"interpretability":[101],"correlation":[104],"features":[108],"presence":[112],"APOE-epsilon4":[115],"allele":[116],"chronic":[118],"conditions":[119],"like":[120],"diabetes.":[121],"research":[123],"advocates":[124],"for":[125],"future":[126],"ML":[127],"innovations,":[128],"particularly":[129],"integrating":[131],"explainable":[132],"AI":[133],"approaches,":[134],"to":[135],"further":[136],"predictive":[138],"capabilities":[139],"care.":[142]},"counts_by_year":[],"updated_date":"2026-01-14T23:44:37.837170","created_date":"2026-01-14T00:00:00"}