{"id":"https://openalex.org/W3095666019","doi":"https://doi.org/10.1007/s11227-020-03481-x","title":"AI-based smart prediction of clinical disease using random forest classifier and Naive Bayes","display_name":"AI-based smart prediction of clinical disease using random forest classifier and Naive Bayes","publication_year":2020,"publication_date":"2020-11-04","ids":{"openalex":"https://openalex.org/W3095666019","doi":"https://doi.org/10.1007/s11227-020-03481-x","mag":"3095666019"},"language":"en","primary_location":{"id":"doi:10.1007/s11227-020-03481-x","doi":"https://doi.org/10.1007/s11227-020-03481-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11227-020-03481-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11227-020-03481-x.pdf","source":{"id":"https://openalex.org/S32326811","display_name":"The Journal of Supercomputing","issn_l":"0920-8542","issn":["0920-8542","1573-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-c","cwts-core","dongbi-d","jufo-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Journal of Supercomputing","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11227-020-03481-x.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002848900","display_name":"V. Jackins","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405269433","display_name":"National Engineering College","ror":"https://ror.org/044w31n44","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405269433"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"V. Jackins","raw_affiliation_strings":["Department of IT, National Engineering College, Kovilpatti, India","Department of IT, National Engineering College, Kovilpatti, Tamil Nadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of IT, National Engineering College, Kovilpatti, India","institution_ids":["https://openalex.org/I4405269433"]},{"raw_affiliation_string":"Department of IT, National Engineering College, Kovilpatti, Tamil Nadu, India","institution_ids":["https://openalex.org/I4405269433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107972209","display_name":"Shanmuganathan Vimal","orcid":"https://orcid.org/0000-0002-1467-1206","observed_orcids":["https://orcid.org/0000-0002-1467-1206"]},"institutions":[{"id":"https://openalex.org/I4405269433","display_name":"National Engineering College","ror":"https://ror.org/044w31n44","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405269433"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"S. Vimal","raw_affiliation_strings":["Department of IT, National Engineering College, Kovilpatti, India","Department of IT, National Engineering College, Kovilpatti, Tamil Nadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of IT, National Engineering College, Kovilpatti, India","institution_ids":["https://openalex.org/I4405269433"]},{"raw_affiliation_string":"Department of IT, National Engineering College, Kovilpatti, Tamil Nadu, India","institution_ids":["https://openalex.org/I4405269433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091589022","display_name":"M. Kaliappan","orcid":"https://orcid.org/0000-0001-6177-7428","observed_orcids":["https://orcid.org/0000-0001-6177-7428"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"M. Kaliappan","raw_affiliation_strings":["Department of Computer Science and Engineering, Ramco Institute of Technology, Rajapalayam, India","Department of Computer Science and Engineering, Ramco Institute of Technology, Rajapalayam, Tamilnadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Ramco Institute of Technology, Rajapalayam, India","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Ramco Institute of Technology, Rajapalayam, Tamilnadu, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100690117","display_name":"Mi Young Lee","orcid":"https://orcid.org/0000-0002-8139-7091","observed_orcids":["https://orcid.org/0000-0002-8139-7091"]},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Mi Young Lee","raw_affiliation_strings":["Department of Software, Sejong University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-8139-7091","affiliations":[{"raw_affiliation_string":"Department of Software, Sejong University, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002848900","https://openalex.org/A5091589022","https://openalex.org/A5100690117","https://openalex.org/A5107972209"],"corresponding_institution_ids":["https://openalex.org/I28777354","https://openalex.org/I4405269433"],"apc_list":{"value":2750,"currency":"USD","value_usd":2750},"apc_paid":{"value":2750,"currency":"USD","value_usd":2750},"fwci":34.4145,"has_fulltext":true,"cited_by_count":375,"citation_normalized_percentile":{"value":0.99825851,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"77","issue":"5","first_page":"5198","last_page":"5219"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":1.0,"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":1.0,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13038","display_name":"Internet of Things and AI","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/disease-prediction","display_name":"disease prediction","score":0.8560000061988831},{"id":"https://openalex.org/keywords/diagnosis","display_name":"diagnosis","score":0.7570000290870667},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.859000027179718},{"id":"https://openalex.org/keywords/naive-bayes","display_name":"naive Bayes","score":0.9100000262260437},{"id":"https://openalex.org/keywords/medical-data-classification","display_name":"medical data classification","score":0.6299999952316284},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"diabetes mellitus","score":0.46399998664855957},{"id":"https://openalex.org/keywords/heart-disease","display_name":"heart disease","score":0.9990000128746033},{"id":"https://openalex.org/keywords/cancer","display_name":"cancer","score":0.9079999923706055},{"id":"https://openalex.org/keywords/algorithm-comparison","display_name":"algorithm comparison","score":0.5019999742507935},{"id":"https://openalex.org/keywords/patient-information","display_name":"patient information","score":0.5580000281333923}],"concepts":[{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.9186067581176758},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8309054970741272},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7754883766174316},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.594224750995636},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5773240923881531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.576668381690979},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.5478652119636536},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5121598243713379},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4818328619003296},{"id":"https://openalex.org/C185207860","wikidata":"https://www.wikidata.org/wiki/Q17004744","display_name":"Bayes classifier","level":4,"score":0.4439485967159271},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4018595218658447},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1827775537967682},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17795604467391968},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.1298157274723053},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.08722656965255737}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11227-020-03481-x","doi":"https://doi.org/10.1007/s11227-020-03481-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11227-020-03481-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11227-020-03481-x.pdf","source":{"id":"https://openalex.org/S32326811","display_name":"The Journal of Supercomputing","issn_l":"0920-8542","issn":["0920-8542","1573-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-c","cwts-core","dongbi-d","jufo-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Journal of Supercomputing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11227-020-03481-x","doi":"https://doi.org/10.1007/s11227-020-03481-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11227-020-03481-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11227-020-03481-x.pdf","source":{"id":"https://openalex.org/S32326811","display_name":"The Journal of Supercomputing","issn_l":"0920-8542","issn":["0920-8542","1573-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-c","cwts-core","dongbi-d","jufo-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Journal of Supercomputing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.9763000011444092,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G927355987","display_name":null,"funder_award_id":"2018R1D1A1B07043302","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3095666019.pdf","grobid_xml":"https://content.openalex.org/works/W3095666019.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1130077638","https://openalex.org/W1977264295","https://openalex.org/W1998814131","https://openalex.org/W2009151768","https://openalex.org/W2014057135","https://openalex.org/W2049031114","https://openalex.org/W2050312349","https://openalex.org/W2060024317","https://openalex.org/W2065523140","https://openalex.org/W2110878833","https://openalex.org/W2198899446","https://openalex.org/W2443862987","https://openalex.org/W2549906944","https://openalex.org/W2757722543","https://openalex.org/W2773825473","https://openalex.org/W2775450699","https://openalex.org/W2947135135","https://openalex.org/W2956251445","https://openalex.org/W2971096721","https://openalex.org/W3033377353","https://openalex.org/W3034695706","https://openalex.org/W3045828591","https://openalex.org/W3048845749","https://openalex.org/W3083815482","https://openalex.org/W3112949427","https://openalex.org/W4212935479","https://openalex.org/W4231156572"],"related_works":["https://openalex.org/W3205264805","https://openalex.org/W4408696432","https://openalex.org/W4387640356","https://openalex.org/W7217362378","https://openalex.org/W4313656734","https://openalex.org/W3213018774","https://openalex.org/W4300552969","https://openalex.org/W2939337177","https://openalex.org/W4313433008","https://openalex.org/W7215125545"],"abstract_inverted_index":{"Abstract":[0],"Healthcare":[1],"practices":[2],"include":[3],"collecting":[4],"all":[5],"kinds":[6],"of":[7,20,108,121,127,141],"patient":[8,97],"data":[9,24,48,111],"which":[10],"would":[11],"help":[12],"the":[13,17,21,31,60,96,109,122,125,128,137,142],"doctor":[14,56],"correctly":[15],"diagnose":[16],"health":[18],"condition":[19],"patient.":[22],"These":[23],"could":[25],"be":[26],"simple":[27],"symptoms":[28],"observed":[29],"by":[30,35,54,100],"subject,":[32],"initial":[33],"diagnosis":[34],"a":[36,39,44,55,132],"physician":[37],"or":[38,103],"detailed":[40],"test":[41],"result":[42],"from":[43],"laboratory.":[45],"Thus,":[46],"these":[47],"are":[49],"only":[50],"utilized":[51],"for":[52,112],"analysis":[53,107],"who":[57],"then":[58],"ascertains":[59],"disease":[61,85,102,110],"using":[62],"his/her":[63],"personal":[64],"medical":[65],"expertise.":[66],"The":[67,119],"artificial":[68],"intelligence":[69],"has":[70],"been":[71],"used":[72],"with":[73],"Naive":[74],"Bayes":[75],"classification":[76,80,129],"and":[77,91,117,139],"random":[78],"forest":[79],"algorithm":[81],"to":[82,93],"classify":[83],"many":[84],"datasets":[86],"like":[87],"diabetes,":[88],"heart":[89],"disease,":[90],"cancer":[92],"check":[94],"whether":[95],"is":[98,115],"affected":[99],"that":[101],"not.":[104],"A":[105],"performance":[106],"both":[113],"algorithms":[114],"calculated":[116],"compared.":[118],"results":[120],"simulations":[123],"show":[124],"effectiveness":[126],"techniques":[130],"on":[131],"dataset,":[133],"as":[134,136],"well":[135],"nature":[138],"complexity":[140],"dataset":[143],"used.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":32},{"year":2025,"cited_by_count":85},{"year":2024,"cited_by_count":96},{"year":2023,"cited_by_count":91},{"year":2022,"cited_by_count":51},{"year":2021,"cited_by_count":20}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2020-11-09T00:00:00"}