{"id":"https://openalex.org/W2911375267","doi":"https://doi.org/10.1109/bibm.2018.8621182","title":"Disease Inference with Symptom Extraction and Bidirectional Recurrent Neural Network","display_name":"Disease Inference with Symptom Extraction and Bidirectional Recurrent Neural Network","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2911375267","doi":"https://doi.org/10.1109/bibm.2018.8621182","mag":"2911375267"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2018.8621182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-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/A5075518894","display_name":"Donglin Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Donglin Guo","raw_affiliation_strings":["School of Information Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100719013","display_name":"Min Li","orcid":"https://orcid.org/0000-0002-0188-1394"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Li","raw_affiliation_strings":["School of Information Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009404767","display_name":"Ying Yu","orcid":"https://orcid.org/0009-0006-8230-5378"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Yu","raw_affiliation_strings":["School of Information Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079316675","display_name":"Yaohang Li","orcid":"https://orcid.org/0000-0003-0178-1876"},"institutions":[{"id":"https://openalex.org/I81365321","display_name":"Old Dominion University","ror":"https://ror.org/04zjtrb98","country_code":"US","type":"education","lineage":["https://openalex.org/I81365321"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yaohang Li","raw_affiliation_strings":["Department of Computer Science, Old Dominion University, Norfolk, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Old Dominion University, Norfolk, USA","institution_ids":["https://openalex.org/I81365321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026877800","display_name":"Guihua Duan","orcid":"https://orcid.org/0000-0002-9406-6443"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guihua Duan","raw_affiliation_strings":["School of Information Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091157395","display_name":"Fang\u2010Xiang Wu","orcid":"https://orcid.org/0000-0002-4593-9332"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang-Xiang Wu","raw_affiliation_strings":["School of Information Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100438360","display_name":"Jianxin Wang","orcid":"https://orcid.org/0000-0003-1516-0480"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxin Wang","raw_affiliation_strings":["School of Information Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5075518894"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":1.3031,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.85798218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"864","last_page":"868"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9987000226974487,"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":0.9987000226974487,"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":0.998199999332428,"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/T10028","display_name":"Topic Modeling","score":0.9973000288009644,"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/inference","display_name":"Inference","score":0.8763095736503601},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.6598197221755981},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.637104868888855},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6190069317817688},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5583314299583435},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5167552828788757},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48655930161476135},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46577900648117065},{"id":"https://openalex.org/keywords/health-records","display_name":"Health records","score":0.4604838788509369},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.45684775710105896},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4375948905944824},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3512369692325592},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3090634346008301},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.12456876039505005},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.1058027446269989}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.8763095736503601},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.6598197221755981},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.637104868888855},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6190069317817688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5583314299583435},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5167552828788757},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48655930161476135},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46577900648117065},{"id":"https://openalex.org/C3019952477","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Health records","level":3,"score":0.4604838788509369},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.45684775710105896},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4375948905944824},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3512369692325592},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3090634346008301},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.12456876039505005},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.1058027446269989},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"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},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2018.8621182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W86609720","https://openalex.org/W1522301498","https://openalex.org/W1947481528","https://openalex.org/W2013787102","https://openalex.org/W2023502360","https://openalex.org/W2041073071","https://openalex.org/W2064675550","https://openalex.org/W2069143585","https://openalex.org/W2101234009","https://openalex.org/W2102113734","https://openalex.org/W2115610681","https://openalex.org/W2120339295","https://openalex.org/W2125674401","https://openalex.org/W2131744502","https://openalex.org/W2131774270","https://openalex.org/W2143017621","https://openalex.org/W2146089916","https://openalex.org/W2154654747","https://openalex.org/W2159583324","https://openalex.org/W2165612380","https://openalex.org/W2396881363","https://openalex.org/W2518582440","https://openalex.org/W2576012086","https://openalex.org/W2585939463","https://openalex.org/W2625625371","https://openalex.org/W2726375170","https://openalex.org/W2793303269","https://openalex.org/W2793563132","https://openalex.org/W2803920401","https://openalex.org/W2893483035","https://openalex.org/W2919115771","https://openalex.org/W2951125449","https://openalex.org/W2964121744","https://openalex.org/W3104523752","https://openalex.org/W3122990092","https://openalex.org/W4245267204","https://openalex.org/W6603505381","https://openalex.org/W6631190155","https://openalex.org/W6675354045","https://openalex.org/W6675365184","https://openalex.org/W6679775712","https://openalex.org/W6731583760","https://openalex.org/W6749716947","https://openalex.org/W6752284124"],"related_works":["https://openalex.org/W4225394202","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W1847088711","https://openalex.org/W2554558516","https://openalex.org/W2355354922","https://openalex.org/W2527724968","https://openalex.org/W2356296688","https://openalex.org/W2413325029","https://openalex.org/W2739554337"],"abstract_inverted_index":{"Automatic":[0],"disease":[1,53,113,161],"inference":[2,54],"is":[3],"an":[4],"important":[5],"task":[6],"in":[7,151,160],"many":[8],"medical":[9,30],"applications.":[10],"Many":[11],"efforts":[12],"have":[13],"been":[14],"made":[15],"to":[16,22,71,108,147],"predict":[17],"patients'":[18],"future":[19],"health":[20],"according":[21],"their":[23,95],"full":[24],"clinical":[25,27,82],"texts,":[26],"measurements":[28],"or":[29],"codes.":[31],"Symptoms":[32],"reflect":[33],"the":[34,61,75,101,110,126,129,137],"onset":[35],"of":[36,65,86,89,100,112,128],"diseases":[37,44,107,171],"and":[38,63,94,106,133,166],"can":[39],"provide":[40],"credible":[41],"information":[42],"for":[43,125,169],"diagnosis.":[45],"In":[46],"this":[47],"paper,":[48],"we":[49,68,115,140],"propose":[50],"a":[51,80,157],"new":[52],"method":[55],"by":[56],"extracting":[57],"symptoms.":[58],"To":[59,97],"reduce":[60],"uncertainty":[62],"irregularity":[64],"symptom":[66,117,138,149],"descriptions,":[67],"use":[69],"MetaMap":[70],"extract":[72],"symptoms":[73,105,132],"from":[74],"Electronic":[76],"Medical":[77],"Records":[78],"(EMR),":[79],"comprehensive":[81],"knowledge":[83],"database":[84],"consisting":[85],"massive":[87],"amount":[88],"data":[90],"about":[91],"diseases,":[92],"symptoms,":[93],"relationships.":[96],"take":[98],"advantage":[99],"complex":[102],"relationship":[103,130],"between":[104,131],"enhance":[109],"accuracy":[111],"inference,":[114,162],"present":[116],"representation":[118,127],"model:":[119],"term":[120],"frequency-inverse":[121],"document":[122],"frequency":[123],"(TF-IDF)":[124],"diseases.":[134],"Based":[135],"on":[136,172],"representation,":[139],"employ":[141],"bidirectional":[142],"recurrent":[143],"neural":[144],"network":[145],"(Bi-LSTM)":[146],"model":[148,155],"sequence":[150],"EMR.":[152],"Our":[153],"proposed":[154],"shows":[156],"significant":[158],"improvement":[159],"i.e.,":[163],"0.853":[164],"AUC":[165],"0.563":[167],"F1":[168],"50":[170],"MIMIC-III":[173],"dataset.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}