{"id":"https://openalex.org/W2808531674","doi":"https://doi.org/10.24963/ijcai.2018/504","title":"Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization","display_name":"Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2808531674","doi":"https://doi.org/10.24963/ijcai.2018/504","mag":"2808531674"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2018/504","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/504","pdf_url":"https://www.ijcai.org/proceedings/2018/0504.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2018/0504.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012028880","display_name":"Kejing Yin","orcid":"https://orcid.org/0000-0003-4146-3338"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Kejing Yin","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR, China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022791783","display_name":"William K. Cheung","orcid":"https://orcid.org/0000-0002-7428-2050"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"William K. Cheung","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR, China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355768","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-0166-3944"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR, China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021788449","display_name":"Benjamin C. M. Fung","orcid":"https://orcid.org/0000-0001-8423-2906"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Benjamin C. M. Fung","raw_affiliation_strings":["School of Information Studies, McGill University, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"School of Information Studies, McGill University, Montreal, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037690824","display_name":"Jonathan Poon","orcid":"https://orcid.org/0000-0003-2776-5575"},"institutions":[{"id":"https://openalex.org/I1294586568","display_name":"Hospital Authority","ror":"https://ror.org/05sn8t512","country_code":"CN","type":"government","lineage":["https://openalex.org/I1294586568"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jonathan Poon","raw_affiliation_strings":["Hong Kong Hospital Authority, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"Hong Kong Hospital Authority, Hong Kong SAR, China","institution_ids":["https://openalex.org/I1294586568"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5012028880"],"corresponding_institution_ids":["https://openalex.org/I141568987"],"apc_list":null,"apc_paid":null,"fwci":0.8278,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.63922156,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3627","last_page":"3633"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9951000213623047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.7022749185562134},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6092215776443481},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.6043715476989746},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5358874201774597},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4998660087585449},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49294400215148926},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.47532179951667786},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.42723405361175537},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.4237905442714691},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4140129089355469},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36256909370422363},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2796069383621216},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2232784628868103},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1549167037010193},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15013843774795532}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.7022749185562134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6092215776443481},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.6043715476989746},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5358874201774597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4998660087585449},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49294400215148926},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.47532179951667786},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.42723405361175537},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.4237905442714691},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4140129089355469},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36256909370422363},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2796069383621216},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2232784628868103},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1549167037010193},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15013843774795532},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2018/504","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/504","pdf_url":"https://www.ijcai.org/proceedings/2018/0504.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2018/504","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/504","pdf_url":"https://www.ijcai.org/proceedings/2018/0504.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8199999928474426,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2808531674.pdf","grobid_xml":"https://content.openalex.org/works/W2808531674.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1968154520","https://openalex.org/W1969116741","https://openalex.org/W1973825638","https://openalex.org/W1976801265","https://openalex.org/W2004910511","https://openalex.org/W2024165284","https://openalex.org/W2024356620","https://openalex.org/W2105637130","https://openalex.org/W2117420919","https://openalex.org/W2121382432","https://openalex.org/W2135496322","https://openalex.org/W2302696457","https://openalex.org/W2396881363","https://openalex.org/W2404467465","https://openalex.org/W2556399337","https://openalex.org/W2561981131","https://openalex.org/W2604836086","https://openalex.org/W2606929478","https://openalex.org/W2739829035","https://openalex.org/W3029645440","https://openalex.org/W4301014524"],"related_works":["https://openalex.org/W2280422768","https://openalex.org/W3143197806","https://openalex.org/W4252555497","https://openalex.org/W3121175838","https://openalex.org/W3016293053","https://openalex.org/W1690653314","https://openalex.org/W2401723157","https://openalex.org/W2065055572","https://openalex.org/W1973739845","https://openalex.org/W119752240"],"abstract_inverted_index":{"Non-negative":[0],"tensor":[1,23,100,121],"factorization":[2,41,101,122],"has":[3,34],"been":[4],"shown":[5],"effective":[6],"for":[7,71,81,171],"discovering":[8],"phenotypes":[9,110,151],"from":[10],"the":[11,25,28,40,60,72,97,104,108,126,140,150,153,161],"EHR":[12,29],"data":[13],"with":[14,83],"minimal":[15],"human":[16],"supervision.":[17],"In":[18,159],"most":[19],"cases,":[20],"an":[21],"interaction":[22,99],"of":[24,168],"elements":[26],"in":[27,67],"(e.g.,":[30,87],"diagnoses":[31],"and":[32,107,124,152],"medications)":[33],"to":[35,58,139],"be":[36,43,56],"first":[37],"established":[38],"before":[39],"can":[42,55],"applied.":[44],"Such":[45],"correspondence":[46,106,154],"information":[47],"however":[48],"is":[49,78],"often":[50],"missing.":[51],"While":[52],"different":[53],"heuristics":[54],"used":[57],"estimate":[59],"missing":[61],"correspondence,":[62],"any":[63],"errors":[64],"introduced":[65],"will":[66],"turn":[68],"cause":[69],"inaccuracy":[70],"subsequent":[73],"phenotype":[74],"discovery":[75],"task.":[76],"This":[77],"especially":[79],"true":[80],"patients":[82],"multiple":[84],"diseases":[85],"diagnosed":[86],"under":[88,117],"critical":[89],"care).":[90],"To":[91],"alleviate":[92],"this":[93],"limitation,":[94],"we":[95,136],"propose":[96],"hidden":[98],"(HITF)":[102],"where":[103],"diagnosis-medication":[105],"underlying":[109],"are":[111,156],"inferred":[112,155,162],"simultaneously.":[113],"We":[114],"formulate":[115],"it":[116],"a":[118,166],"Poisson":[119],"non-negative":[120],"framework":[123],"learn":[125],"HITF":[127,138,163],"model":[128,164],"via":[129],"maximum":[130],"likelihood":[131],"estimation.":[132],"For":[133],"performance":[134],"evaluation,":[135],"applied":[137],"MIMIC":[141],"III":[142],"dataset.":[143],"Our":[144],"empirical":[145],"results":[146],"show":[147],"that":[148],"both":[149],"clinically":[157],"meaningful.":[158],"addition,":[160],"outperforms":[165],"number":[167],"state-of-the-art":[169],"methods":[170],"mortality":[172],"prediction.":[173]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}