{"id":"https://openalex.org/W4312825639","doi":"https://doi.org/10.1109/tkde.2022.3230454","title":"Patient Health Representation Learning via Correlational Sparse Prior of Medical Features","display_name":"Patient Health Representation Learning via Correlational Sparse Prior of Medical Features","publication_year":2022,"publication_date":"2022-12-19","ids":{"openalex":"https://openalex.org/W4312825639","doi":"https://doi.org/10.1109/tkde.2022.3230454"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2022.3230454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3230454","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},"type":"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/A5091152455","display_name":"Xinyu Ma","orcid":"https://orcid.org/0000-0003-4574-0830"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinyu Ma","raw_affiliation_strings":["Key Laboratory of High Confidence Software Technologies, Ministry of Education, Beijing, China","School of Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of High Confidence Software Technologies, Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I4210128818"]},{"raw_affiliation_string":"School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055336632","display_name":"Yasha Wang","orcid":"https://orcid.org/0000-0002-8026-9688"},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yasha Wang","raw_affiliation_strings":["Key Laboratory of High Confidence Software Technologies, Ministry of Education, Beijing, China","National Engineering Research Center of Software Engineering, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of High Confidence Software Technologies, Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I4210128818"]},{"raw_affiliation_string":"National Engineering Research Center of Software Engineering, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101451212","display_name":"Xu Chu","orcid":"https://orcid.org/0000-0002-0520-7196"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Chu","raw_affiliation_strings":["Department of Computer Science, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100610610","display_name":"Liantao Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liantao Ma","raw_affiliation_strings":["Key Laboratory of High Confidence Software Technologies, Ministry of Education, Beijing, China","School of Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of High Confidence Software Technologies, Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I4210128818"]},{"raw_affiliation_string":"School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101528646","display_name":"Wen Tang","orcid":"https://orcid.org/0000-0002-1446-8865"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210141942","display_name":"Peking University Third Hospital","ror":"https://ror.org/04wwqze12","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210141942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Tang","raw_affiliation_strings":["Division of Nephrology, Peking University Third Hospital, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Division of Nephrology, Peking University Third Hospital, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210141942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100304260","display_name":"Junfeng Zhao","orcid":"https://orcid.org/0009-0001-2846-9981"},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfeng Zhao","raw_affiliation_strings":["Key Laboratory of High Confidence Software Technologies, Ministry of Education, Beijing, China","School of Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of High Confidence Software Technologies, Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I4210128818"]},{"raw_affiliation_string":"School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014346487","display_name":"Ye Yuan","orcid":"https://orcid.org/0000-0002-0247-9866"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Yuan","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054991337","display_name":"Guoren Wang","orcid":"https://orcid.org/0000-0002-0181-8379"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoren Wang","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5091152455"],"corresponding_institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210128818"],"apc_list":null,"apc_paid":null,"fwci":2.785,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.91817468,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"35","issue":"11","first_page":"11769","last_page":"11783"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9950000047683716,"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/T10862","display_name":"AI in cancer detection","score":0.9836999773979187,"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/leverage","display_name":"Leverage (statistics)","score":0.7194348573684692},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6086233854293823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5914743542671204},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.569754958152771},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5285747647285461},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4996819496154785},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.49389153718948364},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4544329047203064},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.45008721947669983},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.29613199830055237}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7194348573684692},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6086233854293823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5914743542671204},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.569754958152771},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5285747647285461},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4996819496154785},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.49389153718948364},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4544329047203064},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.45008721947669983},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.29613199830055237},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2022.3230454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3230454","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1634872340","display_name":null,"funder_award_id":"62172011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G696482069","display_name":null,"funder_award_id":"2021TQ0011","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W1585709511","https://openalex.org/W1603121691","https://openalex.org/W1944513002","https://openalex.org/W1975320652","https://openalex.org/W1975613227","https://openalex.org/W1976526581","https://openalex.org/W2043325163","https://openalex.org/W2054907499","https://openalex.org/W2095233676","https://openalex.org/W2103096501","https://openalex.org/W2135674549","https://openalex.org/W2152955526","https://openalex.org/W2188125418","https://openalex.org/W2396881363","https://openalex.org/W2404901863","https://openalex.org/W2535984689","https://openalex.org/W2557074642","https://openalex.org/W2593803104","https://openalex.org/W2742491462","https://openalex.org/W2762528053","https://openalex.org/W2784499877","https://openalex.org/W2805573962","https://openalex.org/W2809396336","https://openalex.org/W2809398771","https://openalex.org/W2883672015","https://openalex.org/W2889484324","https://openalex.org/W2895984918","https://openalex.org/W2896538705","https://openalex.org/W2897007327","https://openalex.org/W2913049957","https://openalex.org/W2944774301","https://openalex.org/W2963271116","https://openalex.org/W2963532813","https://openalex.org/W2964015378","https://openalex.org/W2964068143","https://openalex.org/W2981330198","https://openalex.org/W2990045899","https://openalex.org/W2990583369","https://openalex.org/W2995282027","https://openalex.org/W2997494090","https://openalex.org/W2997653844","https://openalex.org/W2998409174","https://openalex.org/W3004001630","https://openalex.org/W3017943936","https://openalex.org/W3025394897","https://openalex.org/W3034494694","https://openalex.org/W3035742266","https://openalex.org/W3042895962","https://openalex.org/W3080098168","https://openalex.org/W3092301826","https://openalex.org/W3098949126","https://openalex.org/W3101973032","https://openalex.org/W3102696737","https://openalex.org/W3107130209","https://openalex.org/W3110971987","https://openalex.org/W3122057397","https://openalex.org/W3128663662","https://openalex.org/W3144619878","https://openalex.org/W3153405813","https://openalex.org/W3156039010","https://openalex.org/W3177373898","https://openalex.org/W3187228765","https://openalex.org/W3202925353","https://openalex.org/W4287546251","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W6687046810","https://openalex.org/W6688325169","https://openalex.org/W6712503630","https://openalex.org/W6726186668","https://openalex.org/W6726873649","https://openalex.org/W6734769971","https://openalex.org/W6738964360","https://openalex.org/W6754608205","https://openalex.org/W6771557539","https://openalex.org/W6779366339","https://openalex.org/W6779945560","https://openalex.org/W6785528530","https://openalex.org/W6787108694","https://openalex.org/W6787558220","https://openalex.org/W6790937863"],"related_works":["https://openalex.org/W2787993192","https://openalex.org/W2062195135","https://openalex.org/W4387478977","https://openalex.org/W3199964822","https://openalex.org/W4232132981","https://openalex.org/W4238046985","https://openalex.org/W3164948662","https://openalex.org/W3003242282","https://openalex.org/W3153597579","https://openalex.org/W3012824888"],"abstract_inverted_index":{"Exploiting":[0],"the":[1,9,70,79,84,91,96,103,119,124,139],"correlations":[2,71,94],"between":[3],"medical":[4,35,73,156],"features":[5],"is":[6],"essential":[7],"to":[8,69],"success":[10],"of":[11,32,72,133,141],"healthcare":[12],"data":[13,26],"analysis.":[14],"However,":[15],"most":[16],"existing":[17],"methods":[18],"are":[19,149],"either":[20],"suffering":[21],"large":[22],"estimation":[23],"variance":[24],"for":[25,110,117],"insufficiency":[27],"or":[28],"inflexible":[29],"in":[30],"terms":[31],"demanding":[33],"task-specific":[34],"knowledge.":[36],"In":[37],"this":[38],"paper,":[39],"we":[40,77],"propose":[41],"a":[42,58,63,107],"novel":[43],"patient":[44],"health":[45],"representation":[46,60,81],"learning":[47],"framework":[48],"dubbed":[49],"<monospace":[50,54,142],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[51,55,143],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">SAFARI</monospace>":[52,56,144],".":[53,145],"learns":[57],"compact":[59,80],"by":[61,82],"imposing":[62],"clinical-fact-inspired":[64],"task-agnostic":[65],"correlational":[66],"sparsity":[67],"prior":[68],"feature":[74,111],"pairs.":[75],"Specifically,":[76],"learn":[78],"solving":[83,90,118],"bi-level":[85,120],"optimization":[86,121],"problem,":[87],"which":[88,158],"involves":[89],"high-level":[92],"inter-group":[93],"and":[95,113,136,155],"nested":[97],"lower-level":[98],"intra-group":[99],"correlations.":[100],"We":[101],"leverage":[102],"Laplacian":[104],"kernel":[105],"as":[106],"robust":[108],"metric":[109],"grouping":[112],"graph":[114],"neural":[115],"networks":[116],"problem":[122],"following":[123],"optimal":[125],"value":[126],"reformulation":[127],"paradigm.":[128],"Experiments":[129],"on":[130],"five":[131],"datasets":[132],"various":[134],"inputs":[135],"tasks":[137],"demonstrate":[138],"efficacy":[140],"The":[146],"discovered":[147],"findings":[148],"also":[150],"consistent":[151],"with":[152],"our":[153],"insights":[154],"literature,":[157],"can":[159],"provide":[160],"valuable":[161],"clinical":[162],"explanations.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
