{"id":"https://openalex.org/W2791851090","doi":"https://doi.org/10.1109/tcbb.2018.2812886","title":"Comorbidity Scoring with Causal Disease Networks","display_name":"Comorbidity Scoring with Causal Disease Networks","publication_year":2018,"publication_date":"2018-03-06","ids":{"openalex":"https://openalex.org/W2791851090","doi":"https://doi.org/10.1109/tcbb.2018.2812886","mag":"2791851090","pmid":"https://pubmed.ncbi.nlm.nih.gov/29993606"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2018.2812886","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2018.2812886","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5076597400","display_name":"Jong Ho Jhee","orcid":"https://orcid.org/0000-0001-8887-8149"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jong Ho Jhee","raw_affiliation_strings":["Department of Industiral Engineering, Ajou University, Suwon, Gyeonggi, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Industiral Engineering, Ajou University, Suwon, Gyeonggi, South Korea","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028640448","display_name":"Sunjoo Bang","orcid":"https://orcid.org/0000-0002-6986-3993"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sunjoo Bang","raw_affiliation_strings":["Department of Industiral Engineering, Ajou University, Suwon, Gyeonggi, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Industiral Engineering, Ajou University, Suwon, Gyeonggi, South Korea","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100600860","display_name":"Dong\u2010Gi Lee","orcid":"https://orcid.org/0000-0002-7885-7894"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong-gi Lee","raw_affiliation_strings":["Department of Industiral Engineering, Ajou University, Suwon, Gyeonggi, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Industiral Engineering, Ajou University, Suwon, Gyeonggi, South Korea","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043830800","display_name":"Hyunjung Shin","orcid":"https://orcid.org/0000-0001-8347-8277"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunjung Shin","raw_affiliation_strings":["Department of Industiral Engineering, Ajou University, Suwon, Gyeonggi, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Industiral Engineering, Ajou University, Suwon, Gyeonggi, South Korea","institution_ids":["https://openalex.org/I57664883"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076597400"],"corresponding_institution_ids":["https://openalex.org/I57664883"],"apc_list":null,"apc_paid":null,"fwci":0.4824,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.6548289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"16","issue":"5","first_page":"1627","last_page":"1634"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12246","display_name":"Chronic Disease Management Strategies","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12246","display_name":"Chronic Disease Management Strategies","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9715999960899353,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9632999897003174,"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/comorbidity","display_name":"Comorbidity","score":0.8100950717926025},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.7152144312858582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6491703987121582},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.6202175617218018},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5983944535255432},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4981725215911865},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4475044012069702},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40080180764198303},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.25239306688308716},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.17326468229293823}],"concepts":[{"id":"https://openalex.org/C2779159551","wikidata":"https://www.wikidata.org/wiki/Q1414874","display_name":"Comorbidity","level":2,"score":0.8100950717926025},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.7152144312858582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6491703987121582},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.6202175617218018},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5983944535255432},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4981725215911865},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4475044012069702},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40080180764198303},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.25239306688308716},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.17326468229293823},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004813","descriptor_name":"Epidemiology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004813","descriptor_name":"Epidemiology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004813","descriptor_name":"Epidemiology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012306","descriptor_name":"Risk","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012306","descriptor_name":"Risk","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012306","descriptor_name":"Risk","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015897","descriptor_name":"Comorbidity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015897","descriptor_name":"Comorbidity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015897","descriptor_name":"Comorbidity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015984","descriptor_name":"Causality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015984","descriptor_name":"Causality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015984","descriptor_name":"Causality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcbb.2018.2812886","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2018.2812886","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},{"id":"pmid:29993606","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29993606","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM transactions on computational biology and bioinformatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1479807131","https://openalex.org/W1571757483","https://openalex.org/W1908728294","https://openalex.org/W1987224493","https://openalex.org/W2044340941","https://openalex.org/W2063993968","https://openalex.org/W2075495945","https://openalex.org/W2077137971","https://openalex.org/W2083045667","https://openalex.org/W2111461407","https://openalex.org/W2146728697","https://openalex.org/W2152415104","https://openalex.org/W2166305980","https://openalex.org/W2317901060","https://openalex.org/W2332565014","https://openalex.org/W2516467211","https://openalex.org/W2616363959","https://openalex.org/W4211055501","https://openalex.org/W4239931746","https://openalex.org/W4255593950","https://openalex.org/W6634258715","https://openalex.org/W6639917875","https://openalex.org/W6681689991"],"related_works":["https://openalex.org/W1978188354","https://openalex.org/W3141224953","https://openalex.org/W2155091457","https://openalex.org/W4240532399","https://openalex.org/W2765738011","https://openalex.org/W4387318495","https://openalex.org/W2157868280","https://openalex.org/W2002142585","https://openalex.org/W2795699014","https://openalex.org/W2125404607"],"abstract_inverted_index":{"In":[0,82,102],"recent":[1],"years,":[2],"there":[3],"has":[4],"been":[5,77],"numerous":[6],"studies":[7],"constructing":[8],"a":[9,87,98,125,136,169,201],"disease":[10,26,100,160,229],"network":[11,27,88,123,161],"with":[12],"diverse":[13],"sources":[14],"of":[15,24,39,118,157,164,176,208,221,227],"data.":[16],"Many":[17],"researchers":[18],"attempted":[19],"to":[20,79,104,140],"extend":[21],"the":[22,25,57,60,122,141,154,158,174,185,192,196,206,209,222],"usage":[23],"by":[28,184],"employing":[29],"machine":[30,73,90],"learning":[31,74,91],"algorithms":[32,75],"on":[33,56,213],"various":[34],"problems":[35],"such":[36],"as":[37],"prediction":[38,62],"comorbidity.":[40],"The":[41,146],"relations":[42],"between":[43,191],"diseases":[44,65,194,226],"can":[45,66],"further":[46],"be":[47,67],"specified":[48],"into":[49],"causal":[50,99,111,144,159],"relations.":[51],"When":[52],"causality":[53],"is":[54,113,128,132,200],"laid":[55],"edges":[58],"in":[59,121,195],"network,":[61],"for":[63,110],"comorbid":[64,106,225],"more":[68],"improved.":[69],"However,":[70],"not":[71],"many":[72],"have":[76],"developed":[78],"concern":[80],"causality.":[81],"this":[83],"study,":[84],"we":[85,172],"exploit":[86],"based":[89],"algorithm":[92,147],"that":[93],"generates":[94],"comorbidity":[95,197],"scores":[96,117],"from":[97,179],"network.":[101,167],"order":[103],"find":[105],"diseases,":[107],"semi-supervised":[108],"scoring":[109,155],"networks":[112],"proposed.":[114],"It":[115],"computes":[116],"entire":[119],"nodes":[120],"when":[124],"specific":[126],"node":[127],"labeled.":[129],"Each":[130],"score":[131],"calculated":[133],"one":[134],"at":[135],"time":[137],"and":[138,162,230],"affects":[139],"others":[142],"along":[143],"edges.":[145],"iterates":[148],"until":[149],"it":[150,204],"converges.":[151],"We":[152],"compared":[153],"results":[156],"those":[163],"simple":[165],"association":[166],"As":[168],"gold":[170],"standard,":[171],"referenced":[173],"values":[175],"relative":[177],"risk":[178],"prevalence":[180],"database,":[181],"HuDiNe.":[182],"Scoring":[183],"proposed":[186],"method":[187],"provides":[188],"clearer":[189],"distinguishability":[190],"top-ranked":[193],"list.":[198],"This":[199],"benefit":[202],"because":[203],"allows":[205],"choosing":[207],"most":[210],"significant":[211],"ones":[212],"an":[214],"easier":[215],"fashion.":[216],"To":[217],"present":[218],"typical":[219],"use":[220],"resulting":[223],"list,":[224],"Huntington":[228],"pnuemonia":[231],"are":[232],"validated":[233],"via":[234],"PubMed":[235],"literature,":[236],"respectively.":[237]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
