{"id":"https://openalex.org/W2787276147","doi":"https://doi.org/10.3233/978-1-61499-830-3-403","title":"Prediction and Factor Extraction of Drug Function by Analyzing Medical Records in Developing Countries","display_name":"Prediction and Factor Extraction of Drug Function by Analyzing Medical Records in Developing Countries","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2787276147","doi":"https://doi.org/10.3233/978-1-61499-830-3-403","mag":"2787276147","pmid":"https://pubmed.ncbi.nlm.nih.gov/29295125"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-830-3-403","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-830-3-403","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"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/A5046897921","display_name":"Min Hu","orcid":"https://orcid.org/0000-0003-0893-613X"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hu Min","raw_affiliation_strings":["Graduate School of Medical Sciences, Kyushu University, Fukuoka City, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Medical Sciences, Kyushu University, Fukuoka City, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040204315","display_name":"Yasunobu Nohara","orcid":"https://orcid.org/0000-0002-2805-6597"},"institutions":[{"id":"https://openalex.org/I4210097767","display_name":"Kyushu University Hospital","ror":"https://ror.org/00ex2fc97","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I135598925","https://openalex.org/I4210097767"]},{"id":"https://openalex.org/I4210155149","display_name":"Fukuoka City Hospital","ror":"https://ror.org/05exqw945","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210155149"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nohara Yasunobu","raw_affiliation_strings":["Medical Information Center, Kyushu University Hospital, Fukuoka City, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Medical Information Center, Kyushu University Hospital, Fukuoka City, Fukuoka, Japan","institution_ids":["https://openalex.org/I4210097767","https://openalex.org/I4210155149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017008069","display_name":"Masafumi Nakamura","orcid":"https://orcid.org/0000-0002-6196-8643"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nakamura Masafumi","raw_affiliation_strings":["Graduate School of Medical Sciences, Kyushu University, Fukuoka City, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Medical Sciences, Kyushu University, Fukuoka City, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007176673","display_name":"Naoki Nakashima","orcid":"https://orcid.org/0000-0003-4926-8772"},"institutions":[{"id":"https://openalex.org/I4210097767","display_name":"Kyushu University Hospital","ror":"https://ror.org/00ex2fc97","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I135598925","https://openalex.org/I4210097767"]},{"id":"https://openalex.org/I4210155149","display_name":"Fukuoka City Hospital","ror":"https://ror.org/05exqw945","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210155149"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nakashima Naoki","raw_affiliation_strings":["Medical Information Center, Kyushu University Hospital, Fukuoka City, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Medical Information Center, Kyushu University Hospital, Fukuoka City, Fukuoka, Japan","institution_ids":["https://openalex.org/I4210097767","https://openalex.org/I4210155149"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5046897921"],"corresponding_institution_ids":["https://openalex.org/I135598925"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.21445498,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"245","issue":null,"first_page":"403","last_page":"407"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9513000249862671,"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"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9513000249862671,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/medical-prescription","display_name":"Medical prescription","score":0.7608516812324524},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6004931330680847},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.5410711765289307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5146811604499817},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4999198913574219},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.48902425169944763},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.47579512000083923},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41899752616882324},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3848223090171814},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.13242119550704956},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11939197778701782}],"concepts":[{"id":"https://openalex.org/C2426938","wikidata":"https://www.wikidata.org/wiki/Q3355478","display_name":"Medical prescription","level":2,"score":0.7608516812324524},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6004931330680847},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.5410711765289307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5146811604499817},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4999198913574219},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.48902425169944763},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.47579512000083923},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41899752616882324},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3848223090171814},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.13242119550704956},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11939197778701782},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0}],"mesh":[{"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":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001459","descriptor_name":"Bangladesh","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001459","descriptor_name":"Bangladesh","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001459","descriptor_name":"Bangladesh","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003906","descriptor_name":"Developing Countries","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003906","descriptor_name":"Developing Countries","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003906","descriptor_name":"Developing Countries","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":"D008499","descriptor_name":"Medical Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008499","descriptor_name":"Medical Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008499","descriptor_name":"Medical Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.3233/978-1-61499-830-3-403","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-830-3-403","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},{"id":"pmid:29295125","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29295125","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":"Studies in health technology and informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2361820086","https://openalex.org/W4385649027","https://openalex.org/W4388487825","https://openalex.org/W2368224867","https://openalex.org/W3029903131","https://openalex.org/W3111030087","https://openalex.org/W2560936962","https://openalex.org/W2341334583","https://openalex.org/W2788727012","https://openalex.org/W2385685139"],"abstract_inverted_index":{"The":[0,70,103],"World":[1],"Health":[2,16],"Organization":[3],"has":[4,23,119],"declared":[5],"Bangladesh":[6],"one":[7],"of":[8,54,63,123],"58":[9],"countries":[10],"facing":[11],"acute":[12],"Human":[13],"Resources":[14],"for":[15,29],"(HRH)":[17],"crisis.":[18],"Artificial":[19],"intelligence":[20],"in":[21,57],"healthcare":[22],"been":[24],"shown":[25],"to":[26,34,97],"be":[27,77],"successful":[28],"diagnostics.":[30],"Using":[31],"machine":[32],"learning":[33],"predict":[35,60],"pharmaceutical":[36],"prescriptions":[37],"may":[38],"solve":[39],"HRH":[40],"crises.":[41],"In":[42],"this":[43],"study,":[44],"we":[45,132],"investigate":[46],"a":[47,74,95],"predictive":[48],"model":[49],"by":[50],"analyzing":[51],"prescription":[52],"data":[53],"4,543":[55],"subjects":[56],"Bangladesh.":[58],"We":[59],"the":[61,81,106,110,128],"function":[62,108],"prescribed":[64,78,85],"drugs,":[65,117],"comparing":[66],"three":[67],"machine-learning":[68],"approaches.":[69],"approaches":[71],"compare":[72],"whether":[73],"subject":[75],"shall":[76],"medicine":[79],"from":[80],"21":[82],"most":[83],"frequently":[84],"drug":[86,107],"functions.":[87],"Receiver":[88],"Operating":[89],"Characteristics":[90],"(ROC)":[91],"were":[92],"selected":[93],"as":[94],"way":[96],"evaluate":[98],"and":[99,140],"assess":[100],"prediction":[101,112],"models.":[102],"results":[104],"show":[105],"with":[109],"best":[111],"performance":[113],"was":[114],"oral":[115],"hypoglycemic":[116],"which":[118],"an":[120],"average":[121],"AUC":[122],"0.962.":[124],"To":[125],"understand":[126],"how":[127],"variables":[129],"affect":[130],"prediction,":[131],"conducted":[133],"factor":[134],"analysis":[135],"based":[136],"on":[137],"tree-based":[138],"algorithms":[139],"natural":[141],"language":[142],"processing":[143],"techniques.":[144]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
