{"id":"https://openalex.org/W4390224676","doi":"https://doi.org/10.1109/dtpi59677.2023.10365467","title":"DRGs grouping Prediction Method based on Semantics Information of Clinical Notes","display_name":"DRGs grouping Prediction Method based on Semantics Information of Clinical Notes","publication_year":2023,"publication_date":"2023-11-07","ids":{"openalex":"https://openalex.org/W4390224676","doi":"https://doi.org/10.1109/dtpi59677.2023.10365467"},"language":"en","primary_location":{"id":"doi:10.1109/dtpi59677.2023.10365467","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/dtpi59677.2023.10365467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence (DTPI)","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/A5004794610","display_name":"Chai Yang","orcid":"https://orcid.org/0000-0002-6718-4604"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]},{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chai Yang","raw_affiliation_strings":["Hefei University of Technology,School of Management,Hefei,P.R. China","Department of Medical Engineering, The First Affiliated Hospital of University of Sciences and Technology of China, Hefei, P.R. China","School of Management, Hefei University of Technology, Hefei, P.R. China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology,School of Management,Hefei,P.R. China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"Department of Medical Engineering, The First Affiliated Hospital of University of Sciences and Technology of China, Hefei, P.R. China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"School of Management, Hefei University of Technology, Hefei, P.R. China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032092961","display_name":"Xiaoxuan Hu","orcid":"https://orcid.org/0000-0002-2579-1385"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxuan Hu","raw_affiliation_strings":["Hefei University of Technology,School of Management,Hefei,P.R. China","School of Management, Hefei University of Technology, Hefei, P.R. China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology,School of Management,Hefei,P.R. China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Management, Hefei University of Technology, Hefei, P.R. China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101829182","display_name":"Jing Xu","orcid":"https://orcid.org/0000-0002-3946-2056"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Xu","raw_affiliation_strings":["The First Affiliated Hospital of University of Sciences and Technology of China,Medical Insurance Department,Hefei,P.R. China","Medical Insurance Department, The First Affiliated Hospital of University of Sciences and Technology of China, Hefei, P.R. China"],"affiliations":[{"raw_affiliation_string":"The First Affiliated Hospital of University of Sciences and Technology of China,Medical Insurance Department,Hefei,P.R. China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Medical Insurance Department, The First Affiliated Hospital of University of Sciences and Technology of China, Hefei, P.R. China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100337374","display_name":"Zhenfeng Liu","orcid":"https://orcid.org/0009-0001-2398-2014"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenfeng Liu","raw_affiliation_strings":["The First Affiliated Hospital of University of Sciences and Technology of China,Department of Information Centre,Hefei,P.R. China","Department of Information Centre, The First Affiliated Hospital of University of Sciences and Technology of China, Hefei, P.R. China"],"affiliations":[{"raw_affiliation_string":"The First Affiliated Hospital of University of Sciences and Technology of China,Department of Information Centre,Hefei,P.R. China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Department of Information Centre, The First Affiliated Hospital of University of Sciences and Technology of China, Hefei, P.R. China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046745775","display_name":"Hongyang Geng","orcid":"https://orcid.org/0000-0002-5764-825X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongyang Geng","raw_affiliation_strings":["Jiangsu Mashen Medical Research Institute Co., Ltd,Jiangsu,P.R. China","Jiangsu Mashen Medical Research Institute Co., Ltd, Jiangsu, P.R. China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Mashen Medical Research Institute Co., Ltd,Jiangsu,P.R. China","institution_ids":[]},{"raw_affiliation_string":"Jiangsu Mashen Medical Research Institute Co., Ltd, Jiangsu, P.R. China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018245913","display_name":"Qingli Zhu","orcid":"https://orcid.org/0000-0002-0618-2381"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingli Zhu","raw_affiliation_strings":["The First Affiliated Hospital of University of Sciences and Technology of China,Medical Insurance Department,Hefei,P.R. China","Medical Insurance Department, The First Affiliated Hospital of University of Sciences and Technology of China, Hefei, P.R. China"],"affiliations":[{"raw_affiliation_string":"The First Affiliated Hospital of University of Sciences and Technology of China,Medical Insurance Department,Hefei,P.R. China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Medical Insurance Department, The First Affiliated Hospital of University of Sciences and Technology of China, Hefei, P.R. China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110096781","display_name":"Qiang Tu","orcid":"https://orcid.org/0009-0007-7266-0007"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Tu","raw_affiliation_strings":["The First Affiliated Hospital of University of Sciences and Technology of China,Department of Information Centre,Hefei,P.R. China","Department of Information Centre, The First Affiliated Hospital of University of Sciences and Technology of China, Hefei, P.R. China"],"affiliations":[{"raw_affiliation_string":"The First Affiliated Hospital of University of Sciences and Technology of China,Department of Information Centre,Hefei,P.R. China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Department of Information Centre, The First Affiliated Hospital of University of Sciences and Technology of China, Hefei, P.R. China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101965830","display_name":"Yanjun Wang","orcid":"https://orcid.org/0000-0003-3702-5693"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanjun Wang","raw_affiliation_strings":["Hefei University of Technology,School of Management,Hefei,P.R. China","School of Management, Hefei University of Technology, Hefei, P.R. China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology,School of Management,Hefei,P.R. China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Management, Hefei University of Technology, Hefei, P.R. China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017642911","display_name":"Jing Wang","orcid":"https://orcid.org/0000-0003-3183-0982"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210112270","display_name":"Qingdao Academy of Intelligent Industries","ror":"https://ror.org/02a0rnh86","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210112270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Wang","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Automation,Beijing,P.R. China","Institute of Intelligent Medical, Qingdao Academy of Intelligent Industries, Qingdao, P.R. China","Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Automation,Beijing,P.R. China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"Institute of Intelligent Medical, Qingdao Academy of Intelligent Industries, Qingdao, P.R. China","institution_ids":["https://openalex.org/I4210112270"]},{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5004794610"],"corresponding_institution_ids":["https://openalex.org/I126520041","https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":0.3491,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67598316,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"11","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.996399998664856,"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":0.996399998664856,"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":0.9828000068664551,"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/T10028","display_name":"Topic Modeling","score":0.9696000218391418,"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/medical-diagnosis","display_name":"Medical diagnosis","score":0.8021458387374878},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7717341184616089},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5366707444190979},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4991414546966553},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4435378313064575},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3979162573814392},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.333831250667572},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3287019729614258},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09303981065750122}],"concepts":[{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.8021458387374878},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7717341184616089},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5366707444190979},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4991414546966553},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4435378313064575},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3979162573814392},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.333831250667572},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3287019729614258},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09303981065750122},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dtpi59677.2023.10365467","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/dtpi59677.2023.10365467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence (DTPI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1596672046","https://openalex.org/W1712655942","https://openalex.org/W2106188657","https://openalex.org/W2127019902","https://openalex.org/W2321839034","https://openalex.org/W2333700490","https://openalex.org/W2492963872","https://openalex.org/W2700496861","https://openalex.org/W2750779823","https://openalex.org/W2793119966","https://openalex.org/W2971370145","https://openalex.org/W3120740210","https://openalex.org/W3122757003","https://openalex.org/W3130376580","https://openalex.org/W3174700141","https://openalex.org/W3211604411","https://openalex.org/W3214997161","https://openalex.org/W3217307465","https://openalex.org/W4214849436","https://openalex.org/W4229606062","https://openalex.org/W4251409644","https://openalex.org/W6637333385","https://openalex.org/W6739901393","https://openalex.org/W6749669830"],"related_works":["https://openalex.org/W4249377076","https://openalex.org/W4210389441","https://openalex.org/W2395241803","https://openalex.org/W2003211637","https://openalex.org/W2021488205","https://openalex.org/W2604451061","https://openalex.org/W2418110971","https://openalex.org/W2806095031","https://openalex.org/W4391858226","https://openalex.org/W2073770353"],"abstract_inverted_index":{"Efficient":[0],"grouping":[1,61],"of":[2,22,55,68,119,129,158],"Diagnosis":[3],"Related":[4],"Groups":[5],"(DRGs)":[6],"plays":[7],"a":[8,48,99],"crucial":[9],"role":[10],"in":[11,92,142],"medical":[12,144,159],"resource":[13],"management":[14,157],"and":[15,39,75,106,112,155],"cost":[16],"control,":[17],"ultimately":[18],"impacting":[19],"the":[20,65,87,93,116,143,152],"quality":[21],"patient":[23],"care.":[24],"To":[25],"accurately":[26],"assign":[27],"patients":[28],"to":[29,35,58,85,137],"appropriate":[30],"DRGs,":[31],"it":[32],"is":[33],"essential":[34],"have":[36],"precise":[37],"diagnoses":[38,105],"surgical":[40,107],"procedure":[41],"information.":[42],"In":[43],"this":[44],"study,":[45],"we":[46,114],"propose":[47],"novel":[49],"methodology":[50],"that":[51],"leverages":[52],"semantic":[53,89],"analysis":[54],"clinical":[56],"notes":[57],"enhance":[59],"DRGs":[60],"prediction.":[62],"We":[63],"employ":[64],"powerful":[66],"combination":[67],"Bidirectional":[69],"Encoder":[70],"Representations":[71],"from":[72],"Transformers":[73],"(BERT)":[74],"Light":[76],"Gradient":[77],"Boosting":[78],"Machine":[79],"(LightGBM)":[80],"algorithms.":[81],"BERT":[82],"enables":[83],"us":[84],"capture":[86],"contextual":[88],"information":[90],"inherent":[91],"text":[94,140],"data,":[95],"while":[96],"LightGBM":[97],"provides":[98,148],"robust":[100],"framework":[101],"for":[102,151],"predicting":[103],"disease":[104],"procedures.":[108],"Through":[109],"extensive":[110],"experiments":[111],"evaluations,":[113],"demonstrate":[115],"superior":[117],"performance":[118],"our":[120],"approach,":[121],"surpassing":[122],"traditional":[123],"methods":[124],"with":[125],"an":[126],"impressive":[127],"F1-Score":[128],"over":[130],"91%.":[131],"Our":[132],"research":[133],"not":[134],"only":[135],"contributes":[136],"natural":[138],"language":[139],"modeling":[141],"field":[145],"but":[146],"also":[147],"valuable":[149],"insights":[150],"rational":[153],"allocation":[154],"effective":[156],"resources.":[160]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
