{"id":"https://openalex.org/W2346353495","doi":"https://doi.org/10.3850/9783981537079_0883","title":"A Machine Learning Approach for Medication Adherence Monitoring Using Body-Worn Sensors","display_name":"A Machine Learning Approach for Medication Adherence Monitoring Using Body-Worn Sensors","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2346353495","doi":"https://doi.org/10.3850/9783981537079_0883","mag":"2346353495"},"language":"en","primary_location":{"id":"doi:10.3850/9783981537079_0883","doi":"https://doi.org/10.3850/9783981537079_0883","is_oa":false,"landing_page_url":"https://doi.org/10.3850/9783981537079_0883","pdf_url":null,"source":{"id":"https://openalex.org/S4306418181","display_name":"Design, Automation, and Test in Europe","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026421827","display_name":"Niloofar Hezarjaribi","orcid":"https://orcid.org/0000-0002-4946-4477","observed_orcids":["https://orcid.org/0000-0002-4946-4477"]},"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":"Niloofar Hezarjaribi","raw_affiliation_strings":["Embedded & Pervasive Systems Lab (EPSL), Washington State University, Pullman, WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Embedded & Pervasive Systems Lab (EPSL), Washington State University, Pullman, WA","institution_ids":["https://openalex.org/I72951846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030124857","display_name":"Ramin Fallahzadeh","orcid":"https://orcid.org/0000-0001-9966-850X","observed_orcids":["https://orcid.org/0000-0001-9966-850X"]},"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":"Ramin Fallahzadeh","raw_affiliation_strings":["Embedded & Pervasive Systems Lab (EPSL), Washington State University, Pullman, WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Embedded & Pervasive Systems Lab (EPSL), Washington State University, Pullman, WA","institution_ids":["https://openalex.org/I72951846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007139473","display_name":"Hassan G Ghasemzadeh","orcid":"https://orcid.org/0000-0002-1844-1416","observed_orcids":["https://orcid.org/0000-0002-1844-1416"]},"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":"Hassan Ghasemzadeh","raw_affiliation_strings":["Embedded & Pervasive Systems Lab (EPSL), Washington State University, Pullman, WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Embedded & Pervasive Systems Lab (EPSL), 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":1.735,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.93343709,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"842","last_page":"845"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.7759000062942505,"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"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.7759000062942505,"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"}},{"id":"https://openalex.org/T11620","display_name":"Medication Adherence and Compliance","score":0.18050000071525574,"subfield":{"id":"https://openalex.org/subfields/2714","display_name":"Family Practice"},"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/T11446","display_name":"Mobile Health and mHealth Applications","score":0.013399999588727951,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"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/medication-adherence-monitoring","display_name":"medication adherence monitoring","score":0.8970000147819519},{"id":"https://openalex.org/keywords/medication-non-adherence","display_name":"medication non-adherence","score":0.9319999814033508},{"id":"https://openalex.org/keywords/wrist-worn-sensors","display_name":"wrist-worn sensors","score":0.6660000085830688},{"id":"https://openalex.org/keywords/wearable-sensors","display_name":"wearable sensors","score":0.8190000057220459},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"activity recognition","score":0.6930000185966492},{"id":"https://openalex.org/keywords/chronic-disease-self-management","display_name":"chronic disease self-management","score":0.9629999995231628}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7105520367622375},{"id":"https://openalex.org/C2778216619","wikidata":"https://www.wikidata.org/wiki/Q185706","display_name":"Wrist","level":2,"score":0.6395195126533508},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6362389922142029},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5848793387413025},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.584060788154602},{"id":"https://openalex.org/C175079658","wikidata":"https://www.wikidata.org/wiki/Q7312165","display_name":"Remote patient monitoring","level":2,"score":0.4683398902416229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4669066071510315},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.4395591616630554},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4215792715549469},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.3700811266899109},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3683169484138489},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3032605051994324},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2154824435710907},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3850/9783981537079_0883","doi":"https://doi.org/10.3850/9783981537079_0883","is_oa":false,"landing_page_url":"https://doi.org/10.3850/9783981537079_0883","pdf_url":null,"source":{"id":"https://openalex.org/S4306418181","display_name":"Design, Automation, and Test in Europe","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.9789000153541565,"display_name":"Good health and well-being"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1552670949","https://openalex.org/W1947184236","https://openalex.org/W1980156644","https://openalex.org/W2000646797","https://openalex.org/W2032333769","https://openalex.org/W2091957048","https://openalex.org/W2139062201","https://openalex.org/W2155441883","https://openalex.org/W2182029308"],"related_works":["https://openalex.org/W2406926056","https://openalex.org/W110334421","https://openalex.org/W2048493693","https://openalex.org/W2559360246","https://openalex.org/W1996668300","https://openalex.org/W2170071336","https://openalex.org/W2013246180","https://openalex.org/W1974560287","https://openalex.org/W3038738451","https://openalex.org/W4229637392"],"abstract_inverted_index":{"One":[0],"of":[1,31,93,111,116,132],"the":[2,27,112],"most":[3],"important":[4],"challenges":[5],"in":[6,65,95],"chronic":[7],"disease":[8],"self-management":[9],"is":[10,119],"medication":[11,24,44,69,82,101],"non-adherence,":[12],"which":[13],"has":[14],"irrevocable":[15],"outcomes.":[16],"Although":[17],"many":[18],"technologies":[19],"have":[20],"been":[21],"developed":[22],"for":[23,100],"adherence":[25,45,83,96],"monitoring,":[26],"reliability":[28],"and":[29,67,103],"cost-effectiveness":[30],"these":[32],"approaches":[33],"are":[34],"not":[35],"well":[36],"understood":[37],"to":[38,79],"date.":[39],"This":[40],"paper":[41],"presents":[42],"a":[43,74,124],"monitoring":[46],"system":[47,89,125],"by":[48,84],"user-activity":[49],"tracking":[50],"based":[51],"on":[52,109],"wrist-band":[53],"wearable":[54],"sensors.":[55],"We":[56,72],"develop":[57],"machine":[58],"learning":[59],"algorithms":[60],"that":[61,129],"track":[62,130],"wrist":[63],"motions":[64,131],"real-time":[66],"identify":[68],"intake":[70],"activities.":[71],"propose":[73],"novel":[75],"data":[76],"analysis":[77],"pipeline":[78],"reliably":[80],"detect":[81],"examining":[85],"single-wrist":[86],"motions.":[87],"Our":[88],"achieves":[90],"an":[91],"accuracy":[92,115],"78.3%":[94],"detection":[97],"without":[98],"need":[99],"pillboxes":[102],"with":[104,126],"only":[105,120],"one":[106],"sensor":[107],"worn":[108],"either":[110],"wrists.":[113,134],"The":[114],"our":[117],"algorithm":[118],"7.9%":[121],"lower":[122],"than":[123],"two":[127],"sensors":[128],"both":[133]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":6}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}
