{"id":"https://openalex.org/W3207479815","doi":"https://doi.org/10.1109/cibcb49929.2021.9562819","title":"Using Clinical Drug Representations for Improving Mortality and Length of Stay Predictions","display_name":"Using Clinical Drug Representations for Improving Mortality and Length of Stay Predictions","publication_year":2021,"publication_date":"2021-10-13","ids":{"openalex":"https://openalex.org/W3207479815","doi":"https://doi.org/10.1109/cibcb49929.2021.9562819","mag":"3207479815"},"language":"en","primary_location":{"id":"doi:10.1109/cibcb49929.2021.9562819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb49929.2021.9562819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","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/A5011438044","display_name":"Batuhan Bardak","orcid":"https://orcid.org/0000-0002-2941-9863"},"institutions":[{"id":"https://openalex.org/I13236232","display_name":"TOBB University of Economics and Technology","ror":"https://ror.org/03ewx7v96","country_code":"TR","type":"education","lineage":["https://openalex.org/I13236232"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Batuhan Bardak","raw_affiliation_strings":["Department of Computer Engineering, TOBB University of Economics and Technology, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, TOBB University of Economics and Technology, Ankara, Turkey","institution_ids":["https://openalex.org/I13236232"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034886708","display_name":"Mehmet Tan","orcid":"https://orcid.org/0000-0002-1741-0570"},"institutions":[{"id":"https://openalex.org/I13236232","display_name":"TOBB University of Economics and Technology","ror":"https://ror.org/03ewx7v96","country_code":"TR","type":"education","lineage":["https://openalex.org/I13236232"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mehmet Tan","raw_affiliation_strings":["Department of Computer Engineering, TOBB University of Economics and Technology, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, TOBB University of Economics and Technology, Ankara, Turkey","institution_ids":["https://openalex.org/I13236232"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011438044"],"corresponding_institution_ids":["https://openalex.org/I13236232"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.15061471,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9997000098228455,"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":0.9997000098228455,"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/T10350","display_name":"Electronic Health Records Systems","score":0.9732000231742859,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9653000235557556,"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":0.6512286067008972},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.5868537425994873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5241755843162537},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5125836730003357},{"id":"https://openalex.org/keywords/cheminformatics","display_name":"Cheminformatics","score":0.5121221542358398},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5000729560852051},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.4430609941482544},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.433609277009964},{"id":"https://openalex.org/keywords/f1-score","display_name":"F1 score","score":0.4157665967941284},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3591040372848511},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.22037112712860107},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.15537863969802856}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6512286067008972},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.5868537425994873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5241755843162537},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5125836730003357},{"id":"https://openalex.org/C68762167","wikidata":"https://www.wikidata.org/wiki/Q910164","display_name":"Cheminformatics","level":2,"score":0.5121221542358398},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5000729560852051},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.4430609941482544},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.433609277009964},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.4157665967941284},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3591040372848511},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.22037112712860107},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.15537863969802856},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cibcb49929.2021.9562819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb49929.2021.9562819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8600000143051147,"id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G4407453322","display_name":null,"funder_award_id":"120E173","funder_id":"https://openalex.org/F4320322626","funder_display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu"}],"funders":[{"id":"https://openalex.org/F4320322626","display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu","ror":"https://ror.org/04w9kkr77"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1601495365","https://openalex.org/W1832693441","https://openalex.org/W1924770834","https://openalex.org/W1975147762","https://openalex.org/W1976526581","https://openalex.org/W1988037271","https://openalex.org/W2015973724","https://openalex.org/W2055171500","https://openalex.org/W2064675550","https://openalex.org/W2079083604","https://openalex.org/W2083634842","https://openalex.org/W2104489082","https://openalex.org/W2112796928","https://openalex.org/W2114388055","https://openalex.org/W2120340388","https://openalex.org/W2128349740","https://openalex.org/W2141173017","https://openalex.org/W2146089916","https://openalex.org/W2146255968","https://openalex.org/W2327127510","https://openalex.org/W2396881363","https://openalex.org/W2587977043","https://openalex.org/W2597505554","https://openalex.org/W2597843262","https://openalex.org/W2606780347","https://openalex.org/W2764165920","https://openalex.org/W2785947426","https://openalex.org/W2802200505","https://openalex.org/W2806031239","https://openalex.org/W2896457183","https://openalex.org/W2897618417","https://openalex.org/W2903309163","https://openalex.org/W2914405142","https://openalex.org/W2952254971","https://openalex.org/W2962398326","https://openalex.org/W2963078493","https://openalex.org/W2963271116","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2963532813","https://openalex.org/W2964113829","https://openalex.org/W2966357564","https://openalex.org/W2973114758","https://openalex.org/W2985621057","https://openalex.org/W2985962305","https://openalex.org/W2986232138","https://openalex.org/W2993483993","https://openalex.org/W3015425135","https://openalex.org/W3046500025","https://openalex.org/W3093934881","https://openalex.org/W3101371087","https://openalex.org/W3101973032","https://openalex.org/W3102419640","https://openalex.org/W3160359732","https://openalex.org/W3185254154","https://openalex.org/W4206494546","https://openalex.org/W4247943214","https://openalex.org/W4288083420","https://openalex.org/W4289257494","https://openalex.org/W4385245566","https://openalex.org/W6685350579","https://openalex.org/W6685812147","https://openalex.org/W6726186668","https://openalex.org/W6739901393","https://openalex.org/W6745408861","https://openalex.org/W6771260003","https://openalex.org/W6798917475"],"related_works":["https://openalex.org/W1573015311","https://openalex.org/W2889938001","https://openalex.org/W4386509167","https://openalex.org/W3165034028","https://openalex.org/W1570419641","https://openalex.org/W4293771607","https://openalex.org/W2296499206","https://openalex.org/W132037564","https://openalex.org/W3210319767","https://openalex.org/W4391229640"],"abstract_inverted_index":{"Drug":[0],"representations":[1,15,37,79,142],"have":[2,16,122],"played":[3],"an":[4,179],"important":[5],"role":[6],"in":[7,10,80,190,196],"cheminformatics.":[8],"However,":[9],"the":[11,21,31,39,91,103,125,147,153,173,186,203],"healthcare":[12],"domain,":[13],"drug":[14,36,78,106,141],"been":[17],"underused":[18],"relative":[19],"to":[20,30,47,51,66,82,89],"rest":[22],"of":[23,33,41,93,97,181,192,198],"Electronic":[24],"Health":[25],"Record":[26],"(EHR)":[27],"data,":[28],"due":[29],"complexity":[32],"high":[34],"dimensional":[35],"and":[38,59,95,113,160,194],"lack":[40],"proper":[42],"pipeline":[43],"that":[44,75,124],"will":[45],"allow":[46],"convert":[48],"clinical":[49,68,77,84,117,133,140],"drugs":[50],"their":[52],"representations.":[53],"Time-varying":[54],"vital":[55],"signs,":[56],"laboratory":[57],"measurements,":[58],"related":[60],"time-series":[61],"signals":[62],"are":[63],"commonly":[64],"used":[65],"predict":[67],"outcomes.":[69],"In":[70],"this":[71],"work,":[72],"we":[73],"demonstrated":[74],"using":[76],"addition":[81],"other":[83],"features":[85,145],"has":[86],"significant":[87],"potential":[88],"increase":[90],"performance":[92],"mortality":[94,174],"length":[96],"stay":[98],"(LOS)":[99],"models.":[100,137],"We":[101],"evaluate":[102],"two":[104],"different":[105],"representation":[107],"methods":[108],"(Extended":[109],"-Connectivity":[110],"Fingerprint-":[111],"ECFP":[112],"SMILES-Transformer":[114],"embedding)":[115],"on":[116,132],"outcome":[118],"predictions.":[119],"The":[120,200],"results":[121],"shown":[123],"proposed":[126,204],"multimodal":[127],"approach":[128],"achieves":[129],"substantial":[130],"enhancement":[131],"tasks":[134],"over":[135,185],"baseline":[136,189],"U":[138],"sing":[139],"as":[143],"additional":[144],"improve":[146],"LOS":[148],"prediction":[149,175],"for":[150,161,172,202],"Area":[151,162],"Under":[152,163],"Receiver":[154],"Operating":[155],"Characteristics":[156],"(AUROC)":[157],"around":[158,168,182],"%6":[159],"Precision-Recall":[164],"Curve":[165],"(AUPRC)":[166],"by":[167],"%":[169,183],"5.":[170],"Furthermore,":[171],"task,":[176],"there":[177],"is":[178,206],"improvement":[180],"2":[184],"time":[187],"series":[188],"terms":[191,197],"AUROC":[193],"%3.5":[195],"AUPRC.":[199],"code":[201],"method":[205],"available":[207],"at":[208],"https://github.com/tanlab/MIMIC-III-Clinical-Drug-Representations.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
