{"id":"https://openalex.org/W3133320643","doi":"https://doi.org/10.1145/3439870","title":"Indirectly Supervised Anomaly Detection of Clinically Meaningful Health Events from Smart Home Data","display_name":"Indirectly Supervised Anomaly Detection of Clinically Meaningful Health Events from Smart Home Data","publication_year":2021,"publication_date":"2021-02-11","ids":{"openalex":"https://openalex.org/W3133320643","doi":"https://doi.org/10.1145/3439870","mag":"3133320643","pmid":"https://pubmed.ncbi.nlm.nih.gov/34336375"},"language":"en","primary_location":{"id":"doi:10.1145/3439870","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3439870","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8323613","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087418745","display_name":"Jessamyn Dahmen","orcid":null},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"education","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jessamyn Dahmen","raw_affiliation_strings":["Washington State University, Pullman, WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington State University, Pullman, WA","institution_ids":["https://openalex.org/I72951846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048183050","display_name":"Diane J. Cook","orcid":"https://orcid.org/0000-0002-4441-7508"},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"education","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Diane J. Cook","raw_affiliation_strings":["Washington State University, Pullman, WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington State University, Pullman, WA","institution_ids":["https://openalex.org/I72951846"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I72951846"],"apc_list":null,"apc_paid":null,"fwci":3.8215,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.94210581,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"12","issue":"2","first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9997000098228455,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9997000098228455,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8358631134033203},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7568255662918091},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5297131538391113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42586636543273926},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3832956850528717},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3812389373779297},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35506701469421387}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8358631134033203},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7568255662918091},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5297131538391113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42586636543273926},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3832956850528717},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3812389373779297},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35506701469421387},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3439870","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3439870","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},{"id":"pmid:34336375","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34336375","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":"ACM transactions on intelligent systems and technology","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:8323613","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8323613","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":"ACM Trans Intell Syst Technol","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:8323613","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8323613","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":"ACM Trans Intell Syst Technol","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G1229512862","display_name":null,"funder_award_id":"R01 EB009675","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G154243151","display_name":null,"funder_award_id":"R25 AG046114","funder_id":"https://openalex.org/F4320337337","funder_display_name":"National Institute on Aging"},{"id":"https://openalex.org/G1590387639","display_name":null,"funder_award_id":"R01 NR016732","funder_id":"https://openalex.org/F4320337353","funder_display_name":"National Institute of Nursing Research"},{"id":"https://openalex.org/G1682206514","display_name":null,"funder_award_id":"R01 EB015853","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G2445688254","display_name":null,"funder_award_id":"R01NR016732","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3732612803","display_name":null,"funder_award_id":"R01 AG065218","funder_id":"https://openalex.org/F4320337337","funder_display_name":"National Institute on Aging"},{"id":"https://openalex.org/G7448846450","display_name":null,"funder_award_id":"R25 EB024327","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G8612768644","display_name":"IGERT:  Integrative Training in Health-Assistive Smart Environments","funder_award_id":"0900781","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337337","display_name":"National Institute on Aging","ror":"https://ror.org/049v75w11"},{"id":"https://openalex.org/F4320337353","display_name":"National Institute of Nursing Research","ror":"https://ror.org/01y3zfr79"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1018540744","https://openalex.org/W1515590331","https://openalex.org/W1538021842","https://openalex.org/W1564856129","https://openalex.org/W1737603075","https://openalex.org/W1987522330","https://openalex.org/W1991936358","https://openalex.org/W1992699253","https://openalex.org/W2015200434","https://openalex.org/W2084512860","https://openalex.org/W2128814754","https://openalex.org/W2132894148","https://openalex.org/W2134490011","https://openalex.org/W2135090840","https://openalex.org/W2144182447","https://openalex.org/W2147331788","https://openalex.org/W2170298088","https://openalex.org/W2189456526","https://openalex.org/W2293998656","https://openalex.org/W2296719434","https://openalex.org/W2337344967","https://openalex.org/W2414900880","https://openalex.org/W2514072401","https://openalex.org/W2551446786","https://openalex.org/W2617110785","https://openalex.org/W2745401084","https://openalex.org/W2746791238","https://openalex.org/W2752766789","https://openalex.org/W2764083974","https://openalex.org/W2766099988","https://openalex.org/W2767604415","https://openalex.org/W2770001088","https://openalex.org/W2785888850","https://openalex.org/W2787228688","https://openalex.org/W2788110787","https://openalex.org/W2791951661","https://openalex.org/W2798545058","https://openalex.org/W2810531172","https://openalex.org/W2810695483","https://openalex.org/W2910408172","https://openalex.org/W2913756371","https://openalex.org/W2914849365","https://openalex.org/W2962824535","https://openalex.org/W2971376088","https://openalex.org/W2998993395","https://openalex.org/W3004110370","https://openalex.org/W4211173503","https://openalex.org/W4236965008","https://openalex.org/W4254182148"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4377864969","https://openalex.org/W3120251014"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,36,142],"techniques":[2],"can":[3],"extract":[4],"a":[5,80,100],"wealth":[6],"of":[7,18,23,44,83,115,152],"information":[8],"about":[9],"unusual":[10],"events.":[11,136],"Unfortunately,":[12],"these":[13],"methods":[14,37],"yield":[15],"an":[16,41,87],"abundance":[17],"findings":[19],"that":[20,66,104,139],"are":[21],"not":[22],"interest,":[24],"obscuring":[25],"relevant":[26],"anomalies.":[27],"In":[28],"this":[29],"work,":[30],"we":[31,94],"improve":[32],"upon":[33],"traditional":[34],"anomaly":[35,91,141],"by":[38,79,98],"introducing":[39,99],"Isudra,":[40],"Indirectly-Supervised":[42],"Detector":[43],"Relevant":[45],"Anomalies":[46],"from":[47,122],"time":[48,57,107],"series":[49],"data.":[50],"Isudra":[51,116],"employs":[52],"Bayesian":[53],"optimization":[54,76,106],"to":[55,90,117],"select":[56],"scales,":[58],"features,":[59],"base":[60],"detector":[61],"algorithms,":[62],"and":[63,70,146,160],"algorithm":[64],"hyperparameters":[65],"increase":[67],"true":[68],"positive":[69,73],"decrease":[71],"false":[72],"detection.":[74,92],"This":[75],"is":[77],"driven":[78],"small":[81],"amount":[82],"example":[84],"anomalies,":[85],"driving":[86],"indirectly-supervised":[88,140],"approach":[89,97],"Additionally,":[93],"enhance":[95],"the":[96,113],"warm":[101],"start":[102],"method":[103],"reduces":[105],"between":[108],"similar":[109],"problems.":[110],"We":[111],"validate":[112],"feasibility":[114],"detect":[118],"clinically-relevant":[119],"behavior":[120],"anomalies":[121,154],"over":[123],"2":[124],"million":[125],"sensor":[126],"readings":[127],"collected":[128],"in":[129],"5":[130],"smart":[131],"homes,":[132],"reflecting":[133],"26":[134],"health":[135],"Results":[137],"indicate":[138],"outperforms":[143],"both":[144],"supervised":[145],"unsupervised":[147],"algorithms":[148],"at":[149],"detecting":[150],"instances":[151],"health-related":[153],"such":[155],"as":[156],"falls,":[157],"nocturia,":[158],"depression,":[159],"weakness.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
