{"id":"https://openalex.org/W4284897569","doi":"https://doi.org/10.1145/3534591","title":"Multi-Task Learning for Randomized Controlled Trials","display_name":"Multi-Task Learning for Randomized Controlled Trials","publication_year":2022,"publication_date":"2022-07-04","ids":{"openalex":"https://openalex.org/W4284897569","doi":"https://doi.org/10.1145/3534591"},"language":"en","primary_location":{"id":"doi:10.1145/3534591","doi":"https://doi.org/10.1145/3534591","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3534591","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3534591","source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","jufo-2","ki-jl-1","norway-1","poland-20","russia-white-list-2","vabb-shw"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3534591","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086911838","display_name":"Ruixuan Dai","orcid":"https://orcid.org/0000-0003-2151-4177","observed_orcids":["https://orcid.org/0000-0003-2151-4177"]},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruixuan Dai","raw_affiliation_strings":["Washington University in St. Louis, Department of Computer Science and Engineering, St. Louis, Missouri, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis, Department of Computer Science and Engineering, St. Louis, Missouri, United States","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070305373","display_name":"Thomas Kannampallil","orcid":"https://orcid.org/0000-0003-4119-4836","observed_orcids":["https://orcid.org/0000-0003-4119-4836"]},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas Kannampallil","raw_affiliation_strings":["Washington University in St. Louis, Department of Anesthesiology, Department of Computer Science and Engineering, St. Louis, Missouri, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis, Department of Anesthesiology, Department of Computer Science and Engineering, St. Louis, Missouri, United States","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435143","display_name":"Jingwen Zhang","orcid":"https://orcid.org/0000-0002-8092-1488","observed_orcids":["https://orcid.org/0000-0002-8092-1488"]},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingwen Zhang","raw_affiliation_strings":["Washington University in St. Louis, Department of Computer Science and Engineering, St. Louis, Missouri, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis, Department of Computer Science and Engineering, St. Louis, Missouri, United States","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023152643","display_name":"Nan Lv","orcid":"https://orcid.org/0000-0003-2063-3377","observed_orcids":["https://orcid.org/0000-0003-2063-3377"]},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nan Lv","raw_affiliation_strings":["University of Illinois Chicago, Department of Medicine, Chicago, Illinois, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois Chicago, Department of Medicine, Chicago, Illinois, United States","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025785820","display_name":"Jun Ma","orcid":"https://orcid.org/0000-0001-7996-6454","observed_orcids":["https://orcid.org/0000-0001-7996-6454"]},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Ma","raw_affiliation_strings":["University of Illinois Chicago, Department of Medicine, Chicago, Illinois, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois Chicago, Department of Medicine, Chicago, Illinois, United States","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034805517","display_name":"Chenyang Lu","orcid":"https://orcid.org/0000-0003-1709-6769","observed_orcids":["https://orcid.org/0000-0003-1709-6769"]},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenyang Lu","raw_affiliation_strings":["Washington University in St. Louis, Department of Computer Science and Engineering, St. Louis, Missouri, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis, Department of Computer Science and Engineering, St. Louis, Missouri, United States","institution_ids":["https://openalex.org/I204465549"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1061,"has_fulltext":true,"cited_by_count":38,"citation_normalized_percentile":{"value":0.88700138,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":100},"biblio":{"volume":"6","issue":"2","first_page":"1","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9047999978065491,"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":0.9047999978065491,"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":0.03020000085234642,"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/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.023600000888109207,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"multi-task learning","score":0.9700000286102295},{"id":"https://openalex.org/keywords/randomized-controlled-trials","display_name":"randomized controlled trials","score":0.9980000257492065},{"id":"https://openalex.org/keywords/personalized-prediction","display_name":"personalized prediction","score":0.7289999723434448},{"id":"https://openalex.org/keywords/depression-treatment","display_name":"depression treatment","score":0.9440000057220459},{"id":"https://openalex.org/keywords/wearable-devices","display_name":"wearable devices","score":0.9139999747276306},{"id":"https://openalex.org/keywords/long-term-monitoring","display_name":"long-term monitoring","score":0.6859999895095825},{"id":"https://openalex.org/keywords/precision-medicine","display_name":"precision medicine","score":0.9480000138282776},{"id":"https://openalex.org/keywords/treatment-response-prediction","display_name":"treatment response prediction","score":0.48500001430511475},{"id":"https://openalex.org/keywords/integrated-intervention","display_name":"integrated intervention","score":0.5220000147819519}],"concepts":[{"id":"https://openalex.org/C168563851","wikidata":"https://www.wikidata.org/wiki/Q1436668","display_name":"Randomized controlled trial","level":2,"score":0.8362351655960083},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5863692760467529},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5620570182800293},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5369884967803955},{"id":"https://openalex.org/C2780665704","wikidata":"https://www.wikidata.org/wiki/Q959298","display_name":"Intervention (counseling)","level":2,"score":0.5289119482040405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5054664611816406},{"id":"https://openalex.org/C155108698","wikidata":"https://www.wikidata.org/wiki/Q1231081","display_name":"Randomized experiment","level":2,"score":0.4364597201347351},{"id":"https://openalex.org/C100480397","wikidata":"https://www.wikidata.org/wiki/Q7836899","display_name":"Treatment and control groups","level":2,"score":0.43372589349746704},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.31116700172424316},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.08210140466690063},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07392305135726929},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3534591","doi":"https://doi.org/10.1145/3534591","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3534591","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3534591","source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","jufo-2","ki-jl-1","norway-1","poland-20","russia-white-list-2","vabb-shw"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3534591","doi":"https://doi.org/10.1145/3534591","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3534591","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3534591","source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","jufo-2","ki-jl-1","norway-1","poland-20","russia-white-list-2","vabb-shw"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.9537000060081482}],"study_designs":[],"awards":[{"id":"https://openalex.org/G5726343541","display_name":null,"funder_award_id":"UH2HL132368 and UH3HL132368","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G7392608282","display_name":"Engaging self-regulation targets to understand the mechanisms of behavior change and improve mood and weight outcomes","funder_award_id":"UH2HL132368","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G7981632547","display_name":"Engaging self-regulation targets to understand the mechanisms of behavior change and improve mood and weight outcomes","funder_award_id":"UH3HL132368","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"}],"funders":[{"id":"https://openalex.org/F4320330570","display_name":"Fullgraf Foundation","ror":"https://ror.org/00cyqee76"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337338","display_name":"National Heart, Lung, and Blood Institute","ror":"https://ror.org/012pb6c26"},{"id":"https://openalex.org/F4320338403","display_name":"Common Fund","ror":"https://ror.org/001d55x84"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4284897569.pdf","grobid_xml":"https://content.openalex.org/works/W4284897569.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W1579080782","https://openalex.org/W1966545003","https://openalex.org/W1974828111","https://openalex.org/W1982532512","https://openalex.org/W1985329916","https://openalex.org/W1991189801","https://openalex.org/W1997082287","https://openalex.org/W1998614246","https://openalex.org/W2003502731","https://openalex.org/W2008353468","https://openalex.org/W2019717997","https://openalex.org/W2021382870","https://openalex.org/W2040871611","https://openalex.org/W2066242845","https://openalex.org/W2066806488","https://openalex.org/W2078249808","https://openalex.org/W2096349324","https://openalex.org/W2102658861","https://openalex.org/W2112771848","https://openalex.org/W2146739527","https://openalex.org/W2152624257","https://openalex.org/W2156567116","https://openalex.org/W2161532375","https://openalex.org/W2165167678","https://openalex.org/W2257438637","https://openalex.org/W2327083100","https://openalex.org/W2412208823","https://openalex.org/W2626325039","https://openalex.org/W2743251916","https://openalex.org/W2775173797","https://openalex.org/W2794506852","https://openalex.org/W2794997027","https://openalex.org/W2802133293","https://openalex.org/W2875602397","https://openalex.org/W2886710163","https://openalex.org/W2898885354","https://openalex.org/W2912083425","https://openalex.org/W2964121744","https://openalex.org/W2980985183","https://openalex.org/W3004457624","https://openalex.org/W3011209627","https://openalex.org/W3020567640","https://openalex.org/W3037294239","https://openalex.org/W3039343705","https://openalex.org/W3040846519","https://openalex.org/W3089267764","https://openalex.org/W3126649157","https://openalex.org/W3162309386","https://openalex.org/W4205541974","https://openalex.org/W4206688156","https://openalex.org/W4236965008","https://openalex.org/W4249684472","https://openalex.org/W4322574962"],"related_works":["https://openalex.org/W4404446852","https://openalex.org/W4407549248","https://openalex.org/W4417303108","https://openalex.org/W3047930492","https://openalex.org/W2779582454","https://openalex.org/W4224862647","https://openalex.org/W4220993547","https://openalex.org/W3041058744","https://openalex.org/W4400023864","https://openalex.org/W7163193433"],"abstract_inverted_index":{"A":[0],"randomized":[1,197],"controlled":[2],"trial":[3],"(RCT)":[4],"is":[5,136],"used":[6],"to":[7,34,52,152,170,198,230],"study":[8],"the":[9,36,39,54,57,97,127,132,143,163,167,172,176,179,184,213],"safety":[10],"and":[11,41,99,111,129,158,174,212],"efficacy":[12],"of":[13,20,56,79,122,162],"new":[14],"treatments,":[15],"by":[16],"comparing":[17],"patient":[18],"outcomes":[19],"an":[21,60,74,103,188,200],"intervention":[22,58,98,128,202],"group":[23],"with":[24,73,89,193],"a":[25,80,106,113,148,221],"control":[26,42,100,130],"group.":[27],"Traditionally,":[28],"RCTs":[29,229],"rely":[30],"on":[31,138],"statistical":[32,46],"analyses":[33,47],"assess":[35,53],"differences":[37,177],"between":[38,178],"treatment":[40,82],"groups.":[43,181],"However,":[44],"such":[45],"are":[48],"generally":[49],"not":[50],"designed":[51,118],"impact":[55],"at":[59],"individual":[61],"level.":[62],"In":[63],"this":[64],"paper,":[65],"we":[66],"explore":[67],"machine":[68],"learning":[69,108],"models":[70,125,211,233],"in":[71,96,187,217,224,228],"conjunction":[72],"RCT":[75,104,189],"for":[76,119,126,234],"personalized":[77],"predictions":[78,95],"depression":[81],"intervention,":[83],"where":[84],"patients":[85,192],"were":[86,196],"longitudinally":[87],"monitored":[88],"wearable":[90],"devices.":[91],"We":[92,146,182],"formulate":[93],"individual-level":[94],"groups":[101],"from":[102,155],"as":[105],"multi-task":[107,215],"(MTL)":[109],"problem,":[110],"propose":[112],"novel":[114],"MTL":[115,134,168,185,206],"model":[116,135,150,169,207,216],"specifically":[117],"RCTs.":[120],"Instead":[121],"training":[123,144],"separate":[124],"groups,":[131,140],"proposed":[133,205],"trained":[137],"both":[139,209],"effectively":[141],"enlarging":[142],"dataset.":[145],"develop":[147,231],"hierarchical":[149],"architecture":[151],"aggregate":[153],"data":[154,226],"different":[156,159],"sources":[157],"longitudinal":[160],"stages":[161],"trial,":[164],"which":[165],"allows":[166],"exploit":[171],"commonalities":[173],"capture":[175],"two":[180],"evaluated":[183],"approach":[186],"involving":[190],"106":[191],"depression,":[194],"who":[195],"receive":[199],"integrated":[201],"treatment.":[203],"Our":[204],"outperforms":[208],"single-task":[210],"traditional":[214],"predictive":[218,232],"performance,":[219],"representing":[220],"promising":[222],"step":[223],"utilizing":[225],"collected":[227],"precision":[235],"medicine.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2022-07-09T00:00:00"}