{"id":"https://openalex.org/W2767332687","doi":"https://doi.org/10.1145/3132847.3132924","title":"DiagTree","display_name":"DiagTree","publication_year":2017,"publication_date":"2017-11-06","ids":{"openalex":"https://openalex.org/W2767332687","doi":"https://doi.org/10.1145/3132847.3132924","mag":"2767332687"},"language":"en","primary_location":{"id":"doi:10.1145/3132847.3132924","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3132924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","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/A5100358151","display_name":"Yejin Kim","orcid":"https://orcid.org/0000-0003-3900-6015"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yejin Kim","raw_affiliation_strings":["POSTECH, Pohang, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"POSTECH, Pohang, South Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020877120","display_name":"Jingyun Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jingyun Choi","raw_affiliation_strings":["POSTECH, Pohang, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"POSTECH, Pohang, South Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060938154","display_name":"Yosep Chong","orcid":"https://orcid.org/0000-0001-8615-3064"},"institutions":[{"id":"https://openalex.org/I4210160144","display_name":"The Catholic University of Korea Seoul St. Mary's Hospital","ror":"https://ror.org/056cn0e37","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I4210160144","https://openalex.org/I4405260414","https://openalex.org/I87111246"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yosep Chong","raw_affiliation_strings":["St. Mary Hospital, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"St. Mary Hospital, Seoul, South Korea","institution_ids":["https://openalex.org/I4210160144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055458864","display_name":"Xiaoqian Jiang","orcid":"https://orcid.org/0000-0001-9933-2205"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoqian Jiang","raw_affiliation_strings":["University of California, San Diego, La Jolla, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045521125","display_name":"Hwanjo Yu","orcid":"https://orcid.org/0000-0002-7510-0255"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hwanjo Yu","raw_affiliation_strings":["POSTECH, Pohang, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"POSTECH, Pohang, South Korea","institution_ids":["https://openalex.org/I123900574"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1179","last_page":"1188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"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/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9763000011444092,"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"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9517999887466431,"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/computer-science","display_name":"Computer science","score":0.6617892384529114},{"id":"https://openalex.org/keywords/partially-observable-markov-decision-process","display_name":"Partially observable Markov decision process","score":0.5882579684257507},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5805566310882568},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5442237854003906},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.5243397355079651},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.48837369680404663},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.443922221660614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4376221001148224},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41657620668411255},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36123448610305786},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.30036890506744385},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.2884230613708496},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.25525861978530884},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25248122215270996}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6617892384529114},{"id":"https://openalex.org/C17098449","wikidata":"https://www.wikidata.org/wiki/Q176814","display_name":"Partially observable Markov decision process","level":4,"score":0.5882579684257507},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5805566310882568},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5442237854003906},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.5243397355079651},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.48837369680404663},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.443922221660614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4376221001148224},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41657620668411255},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36123448610305786},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.30036890506744385},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.2884230613708496},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25525861978530884},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25248122215270996},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3132847.3132924","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3132924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8100000023841858}],"awards":[{"id":"https://openalex.org/G1443451070","display_name":null,"funder_award_id":"2014-0-00147","funder_id":"https://openalex.org/F4320321332","funder_display_name":"Kyung Hee University"},{"id":"https://openalex.org/G5555976854","display_name":null,"funder_award_id":"R01GM118574, R01GM118609, U01EB023685","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320321332","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W58990062","https://openalex.org/W59445306","https://openalex.org/W129361833","https://openalex.org/W156814138","https://openalex.org/W158727920","https://openalex.org/W1571674654","https://openalex.org/W1886760616","https://openalex.org/W1927563864","https://openalex.org/W1963547452","https://openalex.org/W1963793864","https://openalex.org/W1970074386","https://openalex.org/W1996888198","https://openalex.org/W2004391169","https://openalex.org/W2007442555","https://openalex.org/W2034221837","https://openalex.org/W2041673176","https://openalex.org/W2045399297","https://openalex.org/W2077532696","https://openalex.org/W2084792706","https://openalex.org/W2088956500","https://openalex.org/W2130515279","https://openalex.org/W2132075088","https://openalex.org/W2327414283","https://openalex.org/W2581810577","https://openalex.org/W2596585349","https://openalex.org/W2767332687","https://openalex.org/W4213255380","https://openalex.org/W4237368525","https://openalex.org/W4244665305","https://openalex.org/W4249920716","https://openalex.org/W7074002563"],"related_works":["https://openalex.org/W2123651102","https://openalex.org/W2953027552","https://openalex.org/W2287992105","https://openalex.org/W2570299561","https://openalex.org/W2392831491","https://openalex.org/W2117555338","https://openalex.org/W2130339357","https://openalex.org/W1512585804","https://openalex.org/W1526144783","https://openalex.org/W93275987"],"abstract_inverted_index":{"Differential":[0],"diagnosis":[1,27,36,57,85,186,212,231],"is":[2,37,128,134],"detection":[3],"of":[4,97,125,184,221],"one":[5],"disease":[6,112],"among":[7,239],"similar":[8],"diseases":[9,204],"using":[10,194],"evidence":[11],"such":[12],"as":[13,42,154],"pathologic":[14],"tests.":[15,65],"A":[16],"Partially":[17],"Observed":[18],"Markov":[19],"Decision":[20],"Process":[21],"(POMDP)":[22],"formulates":[23],"the":[24,50,56,60,84,108,111,138,146,161,180,185,211,218],"complex":[25],"differential":[26,35],"process":[28,148,232],"into":[29,92],"a":[30,68,72,123,165,229],"probabilistic":[31],"decision-making":[32],"model.":[33],"However,":[34],"not":[38,48],"often":[39],"fully":[40],"formulated":[41],"POMDP":[43],"because":[44],"model":[45],"construction":[46],"does":[47],"consider":[49],"cost":[51,183,213,238],"(or":[52,214],"time)":[53,215],"to":[54,82,88,136,144,171,174,191,217],"finish":[55],"process,":[58],"or":[59],"practical":[61],"convention":[62],"on":[63],"clinical":[64],"We":[66,150,168,178],"propose":[67],"Diagnostic":[69],"Tree":[70],"(DiagTree),":[71],"new":[73],"framework":[74],"for":[75],"diagnosing":[76],"diseases,":[77],"which":[78],"combines":[79],"several":[80],"tests":[81,99],"reduce":[83],"time":[86],"and":[87,103,143,157,164,182,208,236],"incorporate":[89],"real-world":[90],"constraints":[91],"discrete":[93],"optimization.":[94],"DiagTree":[95,133,170,189,202,223],"consists":[96],"multiple":[98],"in":[100,130],"internal":[101,131],"nodes":[102,142],"posterior":[104],"probabilities":[105],"(\"confidences\")":[106],"that":[107,196],"patient":[109],"suffers":[110],"listed":[113],"at":[114,140],"each":[115],"leaf":[116,141],"node.":[117],"The":[118],"confidences":[119,139],"are":[120],"computed":[121],"after":[122],"series":[124],"test":[126,240],"results":[127],"applied":[129],"nodes.":[132],"built":[135],"maximize":[137],"minimize":[145],"decision":[147],"time.":[149],"formulate":[151],"this":[152],"problem":[153],"integer":[155],"programming":[156],"solve":[158],"it":[159],"by":[160,227],"Branch-and-Bound":[162],"method":[163],"greedy":[166],"approach.":[167],"apply":[169],"immunohistochemistry":[172],"profiles":[173],"detect":[175],"lymphoid":[176],"neoplasms.":[177],"evaluate":[179],"accuracy":[181,207,235],"rules":[187,195,220],"from":[188,199],"compared":[190,216],"those":[192],"obtained":[193],"clinicians":[197,226],"derived":[198],"their":[200],"experience.":[201],"detected":[203],"with":[205,233],"high":[206,234],"also":[209],"reduced":[210],"existing":[219],"clinicians.":[222],"can":[224],"support":[225],"suggesting":[228],"simple":[230],"low":[237],"candidates.":[241]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2017-11-17T00:00:00"}
