{"id":"https://openalex.org/W3094300416","doi":"https://doi.org/10.1109/wf-iot48130.2020.9221014","title":"Predicting Injectable Medication Adherence via a Smart Sharps Bin and Machine Learning","display_name":"Predicting Injectable Medication Adherence via a Smart Sharps Bin and Machine Learning","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3094300416","doi":"https://doi.org/10.1109/wf-iot48130.2020.9221014","mag":"3094300416"},"language":"en","primary_location":{"id":"doi:10.1109/wf-iot48130.2020.9221014","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wf-iot48130.2020.9221014","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 6th World Forum on Internet of Things (WF-IoT)","raw_type":"proceedings-article"},"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/A5103146325","display_name":"Yingqi Gu","orcid":"https://orcid.org/0000-0001-5807-6102"},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Yingqi Gu","raw_affiliation_strings":["Insight Centre for Data Analytics, Dublin City University, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Insight Centre for Data Analytics, Dublin City University, Ireland","institution_ids":["https://openalex.org/I42934936"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073477132","display_name":"Akshay Zalkikar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Akshay Zalkikar","raw_affiliation_strings":["HealthBeacon Ltd, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HealthBeacon Ltd, Ireland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091092898","display_name":"Lara Kelly","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lara Kelly","raw_affiliation_strings":["HealthBeacon Ltd, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HealthBeacon Ltd, Ireland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109842742","display_name":"Kieran Daly","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kieran Daly","raw_affiliation_strings":["HealthBeacon Ltd, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HealthBeacon Ltd, Ireland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080429518","display_name":"Tom\u00e1s Ward","orcid":"https://orcid.org/0000-0002-6173-6607"},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Tomas E. Ward","raw_affiliation_strings":["Insight Centre for Data Analytics, Dublin City University, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Insight Centre for Data Analytics, Dublin City University, Ireland","institution_ids":["https://openalex.org/I42934936"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3766,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.90196078,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11620","display_name":"Medication Adherence and Compliance","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11620","display_name":"Medication Adherence and Compliance","score":0.9998999834060669,"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/T10496","display_name":"Pharmaceutical Practices and Patient Outcomes","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2717","display_name":"Geriatrics and Gerontology"},"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/T10560","display_name":"Diabetes Management and Research","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/bin","display_name":"Bin","score":0.644740104675293},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5497612357139587},{"id":"https://openalex.org/keywords/medication-adherence","display_name":"Medication adherence","score":0.47871875762939453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3418240547180176},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.33322644233703613},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.062470853328704834}],"concepts":[{"id":"https://openalex.org/C156273044","wikidata":"https://www.wikidata.org/wiki/Q4913766","display_name":"Bin","level":2,"score":0.644740104675293},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5497612357139587},{"id":"https://openalex.org/C3018553135","wikidata":"https://www.wikidata.org/wiki/Q67004728","display_name":"Medication adherence","level":2,"score":0.47871875762939453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3418240547180176},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.33322644233703613},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.062470853328704834},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wf-iot48130.2020.9221014","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wf-iot48130.2020.9221014","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 6th World Forum on Internet of Things (WF-IoT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1425868093","https://openalex.org/W1555243480","https://openalex.org/W1845225129","https://openalex.org/W1968703232","https://openalex.org/W1976970833","https://openalex.org/W1979226091","https://openalex.org/W1990856039","https://openalex.org/W2037450761","https://openalex.org/W2044343275","https://openalex.org/W2101234009","https://openalex.org/W2106246296","https://openalex.org/W2130576040","https://openalex.org/W2155441883","https://openalex.org/W2291231306","https://openalex.org/W2519192455","https://openalex.org/W2936379053","https://openalex.org/W2941690445","https://openalex.org/W2978008154","https://openalex.org/W6675354045","https://openalex.org/W6697031389"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W3031052312","https://openalex.org/W4389568370","https://openalex.org/W3032375762","https://openalex.org/W1995515455","https://openalex.org/W2080531066","https://openalex.org/W3108674512","https://openalex.org/W1506200166","https://openalex.org/W1489783725"],"abstract_inverted_index":{"Medication":[0],"non-adherence":[1],"is":[2,50,81],"a":[3,108,121,125,173,207],"widespread":[4],"problem":[5],"affecting":[6],"over":[7,187,206],"50%":[8],"of":[9,39,56,58,91,110,120,139,190,241],"people":[10],"who":[11,69],"have":[12],"chronic":[13,17],"illness":[14],"and":[15,24,135,165,170],"need":[16],"treatment":[18,29],"[1].":[19],"Non-adherence":[20],"exacerbates":[21],"health":[22],"risks":[23],"drives":[25],"significant":[26],"increases":[27],"in":[28,78,89,141],"costs.":[30],"In":[31,46,114],"order":[32],"to":[33,52,66,73,82,133],"address":[34],"these":[35,150],"challenges,":[36],"the":[37,54,59,67,118,188,203,211,234],"importance":[38],"predicting":[40],"patients\u2019":[41,87],"adherence":[42],"has":[43],"been":[44],"recognised.":[45],"other":[47],"words,":[48],"it":[49],"important":[51],"improve":[53],"efficiency":[55],"interventions":[57],"current":[60],"healthcare":[61],"system":[62],"by":[63,106,130,202],"prioritizing":[64],"resources":[65],"patients":[68,140],"are":[70],"most":[71],"likely":[72],"be":[74],"non-adherent.":[75],"Our":[76],"objective":[77],"this":[79,105],"work":[80,195],"make":[83],"predictions":[84],"regarding":[85],"individual":[86],"behaviour":[88],"terms":[90],"taking":[92],"their":[93,98,142],"medication":[94,101],"on":[95,172,198],"time":[96,208],"during":[97],"next":[99],"scheduled":[100],"opportunity.":[102],"We":[103],"do":[104],"leveraging":[107],"number":[109],"machine":[111,153,222],"learning":[112,154,223],"models.":[113],"particular,":[115],"we":[116],"demonstrate":[117],"use":[119],"connected":[122],"IoT":[123],"device;":[124],"\"Smart":[126],"Sharps":[127],"Bin\",":[128],"invented":[129],"HealthBeacon":[131,185],"Ltd.;":[132],"monitor":[134],"track":[136],"injection":[137,179],"disposal":[138,180],"home":[143],"environment.":[144],"Using":[145],"extensive":[146],"data":[147,200],"collected":[148,182],"from":[149,183],"devices,":[151],"five":[152],"models,":[155],"namely":[156],"Extra":[157],"Trees":[158],"Classifier,":[159],"Random":[160],"Forest,":[161],"XGBoost,":[162],"Gradient":[163],"Boosting":[164],"Multilayer":[166],"Perception":[167],"were":[168],"trained":[169],"evaluated":[171],"large":[174],"dataset":[175],"comprising":[176],"165,223":[177],"historic":[178],"records":[181],"5,915":[184],"units":[186],"course":[189],"3":[191],"years.":[192],"The":[193,220],"testing":[194],"was":[196,214],"conducted":[197],"real-time":[199],"generated":[201],"smart":[204],"device":[205],"period":[209],"after":[210],"model":[212],"training":[213],"complete,":[215],"i.e.":[216],"true":[217],"future":[218],"data.":[219],"proposed":[221],"approach":[224],"demonstrated":[225],"very":[226],"good":[227],"predictive":[228],"performance":[229],"exhibiting":[230],"an":[231],"Area":[232],"Under":[233],"Receiver":[235],"Operating":[236],"Characteristic":[237],"Curve":[238],"(ROC":[239],"AUC)":[240],"0.86.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
