{"id":"https://openalex.org/W2953141082","doi":"https://doi.org/10.1145/3328833.3328841","title":"Big Data in Healthcare","display_name":"Big Data in Healthcare","publication_year":2019,"publication_date":"2019-04-09","ids":{"openalex":"https://openalex.org/W2953141082","doi":"https://doi.org/10.1145/3328833.3328841","mag":"2953141082"},"language":"en","primary_location":{"id":"doi:10.1145/3328833.3328841","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3328833.3328841","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 8th International Conference on Software and Information Engineering","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/A5089452517","display_name":"Kayode I. Adenuga","orcid":"https://orcid.org/0000-0001-9687-6995"},"institutions":[{"id":"https://openalex.org/I4387155590","display_name":"ICT University","ror":"https://ror.org/04cdn6p56","country_code":null,"type":"education","lineage":["https://openalex.org/I4387155590"]}],"countries":["CM"],"is_corresponding":true,"raw_author_name":"Kayode I. Adenuga","raw_affiliation_strings":["School of ICT, ICT University, Messasi, Yaound\u00e9, Cameroon"],"affiliations":[{"raw_affiliation_string":"School of ICT, ICT University, Messasi, Yaound\u00e9, Cameroon","institution_ids":["https://openalex.org/I4387155590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083613705","display_name":"Idris Oladele Muniru","orcid":null},"institutions":[{"id":"https://openalex.org/I134542131","display_name":"University of Ilorin","ror":"https://ror.org/032kdwk38","country_code":"NG","type":"education","lineage":["https://openalex.org/I134542131"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Idris O. Muniru","raw_affiliation_strings":["Department of Biomedical Engineering, University of Ilorin, Kwara State, Nigeria"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, University of Ilorin, Kwara State, Nigeria","institution_ids":["https://openalex.org/I134542131"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110573751","display_name":"Fatai Idowu Sadiq","orcid":null},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Fatai I. Sadiq","raw_affiliation_strings":["Computer Science Dept. Universiti Teknologi Malaysia, Skudai, Johor, Malaysia"],"affiliations":[{"raw_affiliation_string":"Computer Science Dept. Universiti Teknologi Malaysia, Skudai, Johor, Malaysia","institution_ids":["https://openalex.org/I4576418"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020447522","display_name":"Rahmat O. Adenuga","orcid":null},"institutions":[{"id":"https://openalex.org/I2802965805","display_name":"University Hospital Southampton NHS Foundation Trust","ror":"https://ror.org/0485axj58","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I2802965805"]},{"id":"https://openalex.org/I4210118229","display_name":"NIHR Southampton Biomedical Research Centre","ror":"https://ror.org/01qqpzg67","country_code":"GB","type":"facility","lineage":["https://openalex.org/I2802965805","https://openalex.org/I4210118229","https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rahmat O. Adenuga","raw_affiliation_strings":["University Hospital Southampton, Hampshire, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University Hospital Southampton, Hampshire, United Kingdom","institution_ids":["https://openalex.org/I4210118229","https://openalex.org/I2802965805"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010576930","display_name":"Muhammad J. Solihudeen","orcid":null},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Muhammad J. Solihudeen","raw_affiliation_strings":["Information System Dept., Universiti Teknologi Malaysia, Skudai, Johor, Malaysia"],"affiliations":[{"raw_affiliation_string":"Information System Dept., Universiti Teknologi Malaysia, Skudai, Johor, Malaysia","institution_ids":["https://openalex.org/I4576418"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5089452517"],"corresponding_institution_ids":["https://openalex.org/I4387155590"],"apc_list":null,"apc_paid":null,"fwci":1.0065,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.83488107,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"196","last_page":"199"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9887999892234802,"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":0.9887999892234802,"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/T11891","display_name":"Big Data and Business Intelligence","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14280","display_name":"Big Data Technologies and Applications","score":0.9713000059127808,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.8374388217926025},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.7717732787132263},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6573339700698853},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.6391375064849854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5414299368858337},{"id":"https://openalex.org/keywords/productivity","display_name":"Productivity","score":0.49059000611305237},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4856773614883423},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4797155261039734},{"id":"https://openalex.org/keywords/healthcare-industry","display_name":"Healthcare industry","score":0.44477272033691406},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42855170369148254},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42477405071258545},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2677154541015625}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.8374388217926025},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.7717732787132263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6573339700698853},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6391375064849854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5414299368858337},{"id":"https://openalex.org/C204983608","wikidata":"https://www.wikidata.org/wiki/Q2111958","display_name":"Productivity","level":2,"score":0.49059000611305237},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4856773614883423},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4797155261039734},{"id":"https://openalex.org/C2989086416","wikidata":"https://www.wikidata.org/wiki/Q15067276","display_name":"Healthcare industry","level":3,"score":0.44477272033691406},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42855170369148254},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42477405071258545},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2677154541015625},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3328833.3328841","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3328833.3328841","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 8th International Conference on Software and Information Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1772652121","https://openalex.org/W1963511058","https://openalex.org/W2082302018","https://openalex.org/W2134367047","https://openalex.org/W2328195623","https://openalex.org/W2575289305","https://openalex.org/W2754182645","https://openalex.org/W3152991237","https://openalex.org/W6601149280","https://openalex.org/W6873705084"],"related_works":["https://openalex.org/W4288085467","https://openalex.org/W3013315095","https://openalex.org/W3194102186","https://openalex.org/W2885049682","https://openalex.org/W2999187818","https://openalex.org/W2227651989","https://openalex.org/W3016950937","https://openalex.org/W4327782978","https://openalex.org/W2977926554","https://openalex.org/W4372048960"],"abstract_inverted_index":{"The":[0,149],"benefits":[1],"of":[2,8,61,67,89,107,135,167,178],"deriving":[3],"useful":[4,68],"insights":[5,69],"from":[6,70],"avalanche":[7],"data":[9,72,97],"available":[10,56],"everywhere":[11],"cannot":[12],"be":[13,163,203],"overemphasized.":[14],"Big":[15],"Data":[16],"analytics":[17],"can":[18,24,74,202],"revolutionize":[19],"the":[20,58,87,105,142,158,179,196],"healthcare":[21,42,50,71,93],"industry.":[22],"It":[23,172],"also":[25],"ensure":[26],"functional":[27],"productivity,":[28],"help":[29],"forecast":[30],"and":[31,40,125,138,144,189],"suggest":[32],"feedbacks":[33],"to":[34,165,175,187],"disease":[35],"outbreaks,":[36],"enhance":[37,75],"clinical":[38],"practice,":[39],"optimize":[41],"expenditure":[43],"which":[44,103],"cuts":[45],"across":[46],"all":[47],"stakeholders":[48],"in":[49,57,169,182,185],"sectors.":[51],"Notwithstanding":[52],"these":[53,199],"immense":[54],"capabilities":[55],"general":[59],"application":[60],"big":[62,96],"data;":[63],"studies":[64],"on":[65,113],"derivation":[66],"that":[73],"medical":[76],"practice":[77],"have":[78],"received":[79],"little":[80],"academic":[81],"attention.":[82],"Therefore,":[83],"this":[84],"study":[85],"highlighted":[86],"possibility":[88],"making":[90],"very":[91],"insightful":[92],"outcomes":[94],"with":[95,120,126],"through":[98,190],"a":[99,127],"simple":[100,128],"classification":[101],"problem":[102],"classifies":[104],"tendency":[106],"individuals":[108],"towards":[109],"specific":[110],"drugs":[111],"based":[112],"personality":[114],"measures.":[115],"Our":[116],"model":[117,156],"though":[118],"trained":[119],"less":[121],"than":[122],"2000":[123],"samples":[124],"neural":[129,197],"network":[130],"architecture":[131],"achieved":[132],"mean":[133],"accuracies":[134],"76.87%":[136],"(sd=0.0097)":[137],"75.86%":[139],"(sd=0.0123)":[140],"for":[141],"0.15":[143],"0.05":[145],"validation":[146],"sets":[147],"respectively.":[148],"relatively":[150],"acceptable":[151],"performance":[152],"recorded":[153],"by":[154],"our":[155,170,183],"despite":[157],"small":[159],"dataset":[160],"could":[161],"largely":[162],"attributed":[164],"number":[166],"attributes":[168],"dataset.":[171],"is":[173],"essential":[174],"uncover":[176],"some":[177],"many":[180,191],"complexities":[181],"societies":[184],"relations":[186],"healthcare;":[188],"machine":[192],"learning":[193],"architectures":[194],"like":[195],"networks":[198],"complex":[200],"relationships":[201],"discovered":[204]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
