{"id":"https://openalex.org/W3202925353","doi":"https://doi.org/10.1109/tkde.2020.2972276","title":"Automatic Treatment Regimen Design","display_name":"Automatic Treatment Regimen Design","publication_year":2021,"publication_date":"2021-10-07","ids":{"openalex":"https://openalex.org/W3202925353","doi":"https://doi.org/10.1109/tkde.2020.2972276","mag":"3202925353"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2020.2972276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.2972276","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/A5081275566","display_name":"Leilei Sun","orcid":"https://orcid.org/0000-0002-0157-1716"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leilei Sun","raw_affiliation_strings":["SKLSDE and BDBC Lab, School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0157-1716","affiliations":[{"raw_affiliation_string":"SKLSDE and BDBC Lab, School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033864788","display_name":"Chuanren Liu","orcid":"https://orcid.org/0000-0001-9030-8495"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chuanren Liu","raw_affiliation_strings":["Department of Business Analytics and Statistics, University of Tennessee, Knoxville, TN, USA"],"raw_orcid":"https://orcid.org/0000-0001-9030-8495","affiliations":[{"raw_affiliation_string":"Department of Business Analytics and Statistics, University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342994","display_name":"Guoqing Chen","orcid":"https://orcid.org/0000-0001-7386-1133"},"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":"Guoqing Chen","raw_affiliation_strings":["School of Economics and Management, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028839347","display_name":"Chonghui Guo","orcid":"https://orcid.org/0000-0002-5155-1297"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chonghui Guo","raw_affiliation_strings":["Institute of Systems Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-5155-1297","affiliations":[{"raw_affiliation_string":"Institute of Systems Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101862104","display_name":"Hui Xiong","orcid":"https://orcid.org/0000-0001-6016-6465"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Xiong","raw_affiliation_strings":["Management Science and Information Systems Department, Rutgers University, Newark, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Management Science and Information Systems Department, Rutgers University, Newark, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040056657","display_name":"Yan\u2010Ming Xie","orcid":"https://orcid.org/0000-0001-5359-4242"},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanming Xie","raw_affiliation_strings":["China Academy of Chinese Medical Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Academy of Chinese Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.26,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65424241,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"33","issue":"11","first_page":"3494","last_page":"3506"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9998000264167786,"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":0.9998000264167786,"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/T10028","display_name":"Topic Modeling","score":0.9958000183105469,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.769831657409668},{"id":"https://openalex.org/keywords/jaccard-index","display_name":"Jaccard index","score":0.7651768922805786},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6895947456359863},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5635386109352112},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5238640308380127},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.46980175375938416},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3531617224216461},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33486682176589966}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.769831657409668},{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.7651768922805786},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6895947456359863},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5635386109352112},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5238640308380127},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.46980175375938416},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3531617224216461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33486682176589966},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2020.2972276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.2972276","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":[],"awards":[{"id":"https://openalex.org/G1657734508","display_name":null,"funder_award_id":"51778033","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1944402821","display_name":"\u7535\u5b50\u75c5\u5386\u6316\u6398\u4e2d\u7684\u805a\u7c7b\u6a21\u578b\u4e0e\u7b97\u6cd5\u7814\u7a76","funder_award_id":"71771034","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3655034187","display_name":null,"funder_award_id":"51822802","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4683947911","display_name":null,"funder_award_id":"71490724","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4768736148","display_name":null,"funder_award_id":"71901011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W156816078","https://openalex.org/W183688296","https://openalex.org/W1506451709","https://openalex.org/W1994226161","https://openalex.org/W1998932002","https://openalex.org/W2004910511","https://openalex.org/W2005464046","https://openalex.org/W2011430131","https://openalex.org/W2103106495","https://openalex.org/W2113054345","https://openalex.org/W2127218421","https://openalex.org/W2135029798","https://openalex.org/W2137245235","https://openalex.org/W2153233077","https://openalex.org/W2165232124","https://openalex.org/W2165835468","https://openalex.org/W2184719144","https://openalex.org/W2248204980","https://openalex.org/W2339666411","https://openalex.org/W2363917130","https://openalex.org/W2385074226","https://openalex.org/W2400311702","https://openalex.org/W2400411405","https://openalex.org/W2582821003","https://openalex.org/W2594685110","https://openalex.org/W2690721124","https://openalex.org/W2742491462","https://openalex.org/W2744140371","https://openalex.org/W2750303327","https://openalex.org/W2754722541","https://openalex.org/W2808870406","https://openalex.org/W2808915113","https://openalex.org/W2809396336","https://openalex.org/W2809425754","https://openalex.org/W2949866548","https://openalex.org/W2962789436","https://openalex.org/W2963561234","https://openalex.org/W3099136959","https://openalex.org/W3143596294","https://openalex.org/W4229652772","https://openalex.org/W4239852074","https://openalex.org/W6607531211","https://openalex.org/W6678914141","https://openalex.org/W6680012447","https://openalex.org/W6680451568"],"related_works":["https://openalex.org/W1994775821","https://openalex.org/W2012019886","https://openalex.org/W2091133150","https://openalex.org/W2945869148","https://openalex.org/W2398781203","https://openalex.org/W2009279505","https://openalex.org/W4206503171","https://openalex.org/W4366711670","https://openalex.org/W2558988915","https://openalex.org/W2972216353"],"abstract_inverted_index":{"As":[0],"a":[1,21,27,58,90,98,119,148,160,176],"data-driven":[2],"healthcare":[3,14,28],"service,":[4],"automatic":[5,70],"treatment":[6,37,53,71,91,110,155,165,171,183],"regimen":[7,72,166],"design":[8,73],"has":[9],"great":[10],"potential":[11],"to":[12,24,31,105,124,180],"improve":[13],"efficiency":[15],"and":[16,47,50,63,121,157,189,217],"quality.":[17],"However,":[18],"it":[19],"is":[20,74,118],"nontrivial":[22],"endeavor":[23],"develop":[25,135],"such":[26],"service":[29],"due":[30],"two":[32,129],"major":[33],"challenges:":[34],"1)":[35],"the":[36,52,107,115,126,151,164,182,212,221],"records":[38],"are":[39],"complex":[40,130],"data":[41],"objects":[42],"consisting":[43],"of":[44,61,67,150,163,170,201,214],"various":[45],"semantic":[46,161],"temporal":[48,94,131],"information,":[49],"2)":[51],"outcome":[54],"usually":[55],"depends":[56],"on":[57,196],"large":[59],"number":[60],"internal":[62,188],"external":[64,190],"factors.":[65,191],"Because":[66],"these":[68],"difficulties,":[69],"still":[75],"an":[76,136],"open":[77],"research":[78,84],"problem":[79],"nowadays.":[80],"To":[81],"fill":[82],"this":[83,86],"gap,":[85],"paper":[87],"first":[88],"formulates":[89],"sequence":[92],"as":[93],"sets,":[95],"then":[96,158],"provides":[97],"novel":[99],"Extended":[100],"Jaccard":[101],"Similarity":[102],"(EJS)":[103],"measure":[104,123],"quantify":[106],"similarities":[108,153],"between":[109,128,154],"sequences.":[111,172],"We":[112,192],"show":[113],"that":[114],"proposed":[116],"EJS":[117],"general":[120],"effective":[122],"capture":[125],"similarity":[127],"sets.":[132],"Further,":[133],"we":[134,174],"efficient":[137],"clustering":[138,144],"algorithm":[139],"which":[140],"can":[141],"achieve":[142],"reasonable":[143],"results":[145,210],"with":[146],"only":[147],"portion":[149],"pairwise":[152],"sequences":[156],"extract":[159],"prototype":[162],"from":[167,206],"each":[168],"cluster":[169],"Finally,":[173],"adopt":[175],"matrix":[177],"factorization":[178],"framework":[179],"predict":[181],"outcomes":[184],"by":[185],"integrating":[186],"multiple":[187],"conduct":[193],"comprehensive":[194],"experiments":[195],"Electronic":[197],"Medical":[198],"Records":[199],"(EMRs)":[200],"more":[202],"than":[203],"28,000":[204],"patients":[205],"14":[207],"hospitals.":[208],"The":[209],"demonstrate":[211],"effectiveness":[213],"our":[215],"approach":[216],"its":[218],"superiority":[219],"over":[220],"state-of-the-art":[222],"ones.":[223]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2025-10-10T00:00:00"}
