{"id":"https://openalex.org/W4297683246","doi":"https://doi.org/10.1109/ichi54592.2022.00132","title":"Value-Based Healthcare Translational Data Analytics using the Problem Oriented Medical Record Graph Representation","display_name":"Value-Based Healthcare Translational Data Analytics using the Problem Oriented Medical Record Graph Representation","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W4297683246","doi":"https://doi.org/10.1109/ichi54592.2022.00132"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ichi54592.2022.00132","pdf_url":null,"source":{"id":"https://openalex.org/S4363608310","display_name":"2022 IEEE 10th International Conference on Healthcare Informatics (ICHI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","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/A5005050397","display_name":"Sabah Mohammed","orcid":"https://orcid.org/0000-0002-7639-0696"},"institutions":[{"id":"https://openalex.org/I72541430","display_name":"Lakehead University","ror":"https://ror.org/023p7mg82","country_code":"CA","type":"funder","lineage":["https://openalex.org/I72541430"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sabah Mohammed","raw_affiliation_strings":["Department of Computer Science, Lakehead University, Thunder Bay, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Lakehead University, Thunder Bay, Canada","institution_ids":["https://openalex.org/I72541430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057095588","display_name":"Jinan Fiaidhi","orcid":"https://orcid.org/0000-0001-7063-6061"},"institutions":[{"id":"https://openalex.org/I72541430","display_name":"Lakehead University","ror":"https://ror.org/023p7mg82","country_code":"CA","type":"funder","lineage":["https://openalex.org/I72541430"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jinan Fiaidhi","raw_affiliation_strings":["Department of Computer Science, Lakehead University, Thunder Bay, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Lakehead University, Thunder Bay, Canada","institution_ids":["https://openalex.org/I72541430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030967790","display_name":"Darien Sawyer","orcid":null},"institutions":[{"id":"https://openalex.org/I72541430","display_name":"Lakehead University","ror":"https://ror.org/023p7mg82","country_code":"CA","type":"funder","lineage":["https://openalex.org/I72541430"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Darien Sawyer","raw_affiliation_strings":["Department of Computer Science, Lakehead University, Thunder Bay, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Lakehead University, Thunder Bay, Canada","institution_ids":["https://openalex.org/I72541430"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.714,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.906667,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":60,"max":70},"biblio":{"volume":null,"issue":null,"first_page":"653","last_page":"658"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10496","display_name":"Pharmaceutical Practices and Patient Outcomes","score":0.9981,"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"}},"topics":[{"id":"https://openalex.org/T10496","display_name":"Pharmaceutical Practices and Patient Outcomes","score":0.9981,"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/T10804","display_name":"Health Systems, Economic Evaluations, Quality of Life","score":0.9422,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11792","display_name":"Pharmaceutical Economics and Policy","score":0.9245,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.49814177},{"id":"https://openalex.org/keywords/exploratory-research","display_name":"Exploratory research","score":0.46994382},{"id":"https://openalex.org/keywords/representation","display_name":"Representation","score":0.41953462}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.66566634},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6185514},{"id":"https://openalex.org/C36434225","wikidata":"https://www.wikidata.org/wiki/Q1895998","display_name":"Polypharmacy","level":2,"score":0.5814795},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5345432},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.51812524},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.49814177},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49197838},{"id":"https://openalex.org/C85973986","wikidata":"https://www.wikidata.org/wiki/Q1091731","display_name":"Exploratory research","level":2,"score":0.46994382},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41953462},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27405795},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23295331},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.22178462},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ichi54592.2022.00132","pdf_url":null,"source":{"id":"https://openalex.org/S4363608310","display_name":"2022 IEEE 10th International Conference on Healthcare Informatics (ICHI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada","award_id":"DDG-2021-00014"}],"datasets":[],"versions":[],"referenced_works_count":29,"referenced_works":["https://openalex.org/W1965047918","https://openalex.org/W2014556601","https://openalex.org/W2031367983","https://openalex.org/W2045814287","https://openalex.org/W2067559113","https://openalex.org/W2094649224","https://openalex.org/W2498661900","https://openalex.org/W2517964783","https://openalex.org/W2557530941","https://openalex.org/W2588798583","https://openalex.org/W2589631068","https://openalex.org/W2786016794","https://openalex.org/W2807795190","https://openalex.org/W2899518449","https://openalex.org/W2911513364","https://openalex.org/W2925169958","https://openalex.org/W2963095529","https://openalex.org/W2971835090","https://openalex.org/W2972970422","https://openalex.org/W3082562609","https://openalex.org/W3120343432","https://openalex.org/W3132785872","https://openalex.org/W3158967570","https://openalex.org/W3160333093","https://openalex.org/W3175831031","https://openalex.org/W4205844254","https://openalex.org/W4206514926","https://openalex.org/W4241984066","https://openalex.org/W825331328"],"related_works":["https://openalex.org/W4310739378","https://openalex.org/W3028382539","https://openalex.org/W2983667031","https://openalex.org/W2891286602","https://openalex.org/W2594890405","https://openalex.org/W2398672653","https://openalex.org/W2269921241","https://openalex.org/W2171692026","https://openalex.org/W2103640491","https://openalex.org/W1997275959"],"abstract_inverted_index":{"Translational":[0],"data":[1],"analytics":[2,65],"play":[3],"an":[4,63,128],"important":[5],"role":[6],"in":[7],"developing,":[8],"applying":[9],"and":[10,19,82,135],"evaluating":[11],"health":[12,55],"outcomes":[13],"to":[14,54,67,91,100,109,121,130],"improve":[15],"the":[16,30,35,76,80,93,110,123],"effectiveness,":[17],"safety,":[18],"patient":[20,72],"experiences":[21],"of":[22,28,41,112,133,152],"care.":[23],"Through":[24],"this":[25,58,84],"integrative":[26],"approach":[27,66,105],"linking":[29],"bedside":[31,81],"clinical":[32],"practice":[33],"with":[34],"benchside":[36],"biomedical":[37],"research":[38,98],"relevant":[39],"information":[40],"different":[42],"varieties":[43],"from":[44,71],"multiple":[45],"sources":[46],"can":[47,95],"provide":[48,96],"a":[49],"more":[50],"accurate":[51],"patterns":[52],"contributing":[53],"outcomes.":[56],"In":[57],"article":[59],"we":[60,118],"are":[61,119],"introducing":[62],"exploratory":[64,104],"generate":[68],"knowledge":[69,115,125],"graphs":[70,126],"cases":[73],"described":[74],"via":[75],"SOAP":[77],"note":[78],"at":[79],"expand":[83],"graph":[85],"through":[86],"building":[87],"attributes":[88],"like":[89,138],"medications":[90],"what":[92],"bench":[94],"on":[97],"related":[99],"these":[101],"attributes.":[102],"This":[103],"has":[106],"been":[107],"applied":[108],"problem":[111],"identifying":[113],"polypharmacy":[114,134],"graphs.":[116],"However,":[117],"proposing":[120],"used":[122],"generated":[124],"using":[127],"autoencoder":[129,147],"decode":[131],"neighborhoods":[132],"label":[136],"nodes":[137],"drugs":[139],"as":[140],"candidate":[141],"for":[142],"deprescribion":[143],"or":[144],"not.":[145],"The":[146],"is":[148],"our":[149],"next":[150],"phase":[151],"research.":[153]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4297683246","counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-01-27T00:35:53.204844","created_date":"2022-09-30"}