{"id":"https://openalex.org/W4396852596","doi":"https://doi.org/10.1145/3647444.3647937","title":"Risk Factor Prediction for Heart Disease Using Decision Trees","display_name":"Risk Factor Prediction for Heart Disease Using Decision Trees","publication_year":2023,"publication_date":"2023-11-23","ids":{"openalex":"https://openalex.org/W4396852596","doi":"https://doi.org/10.1145/3647444.3647937"},"language":"en","primary_location":{"id":"doi:10.1145/3647444.3647937","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3647444.3647937","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Information Management & Machine Intelligence","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/A5097955604","display_name":"Shanthi Kunchi","orcid":"https://orcid.org/0009-0009-7527-2821"},"institutions":[{"id":"https://openalex.org/I244572783","display_name":"Symbiosis International University","ror":"https://ror.org/005r2ww51","country_code":"IN","type":"education","lineage":["https://openalex.org/I244572783"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Shanthi Kunchi","raw_affiliation_strings":["Symbiosis Law School, Symbiosis International (Deemed University), Pune, India, India"],"affiliations":[{"raw_affiliation_string":"Symbiosis Law School, Symbiosis International (Deemed University), Pune, India, India","institution_ids":["https://openalex.org/I244572783"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049826685","display_name":"Vijaya N. Aher","orcid":"https://orcid.org/0000-0002-9751-3472"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vijaya N. Aher","raw_affiliation_strings":["E&TC, VIIT,, India"],"affiliations":[{"raw_affiliation_string":"E&TC, VIIT,, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097982389","display_name":"Sharayu Ikhar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sharayu Ikhar","raw_affiliation_strings":["Department of Information Technology, Vishwakarma Institute of Information technology Pune, India"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Vishwakarma Institute of Information technology Pune, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052162860","display_name":"Kishor Pathak","orcid":"https://orcid.org/0000-0001-8409-7433"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kishor Pathak","raw_affiliation_strings":["Computer, Vishwakarma Institute of Information Technology, India"],"affiliations":[{"raw_affiliation_string":"Computer, Vishwakarma Institute of Information Technology, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071987892","display_name":"Yatin Gandhi","orcid":"https://orcid.org/0009-0001-1479-2796"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yatin Gandhi","raw_affiliation_strings":["Computer, Competent Softwares, India"],"affiliations":[{"raw_affiliation_string":"Computer, Competent Softwares, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034480600","display_name":"Kirti Wanjale","orcid":"https://orcid.org/0000-0003-4271-504X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kirti Wanjale","raw_affiliation_strings":["Department of Computer Engineering, Vishwakarma Institute of Information Technology, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Vishwakarma Institute of Information Technology, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5097955604"],"corresponding_institution_ids":["https://openalex.org/I244572783"],"apc_list":null,"apc_paid":null,"fwci":0.3776,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76113152,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9973999857902527,"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":0.9973999857902527,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9408000111579895,"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/decision-tree","display_name":"Decision tree","score":0.7008845806121826},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5604058504104614},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.487600713968277},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34982556104660034}],"concepts":[{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.7008845806121826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5604058504104614},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.487600713968277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34982556104660034},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3647444.3647937","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3647444.3647937","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Information Management & Machine Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2070773792","https://openalex.org/W2617110182","https://openalex.org/W2955471158","https://openalex.org/W2995098893","https://openalex.org/W3042627069","https://openalex.org/W3044482460","https://openalex.org/W3085135947","https://openalex.org/W3136399649","https://openalex.org/W3202169040","https://openalex.org/W4220987968","https://openalex.org/W4236705411","https://openalex.org/W4280490366","https://openalex.org/W4281656136","https://openalex.org/W4307475640","https://openalex.org/W4362468451","https://openalex.org/W4362672441","https://openalex.org/W4379932692","https://openalex.org/W4379932916","https://openalex.org/W4385212340","https://openalex.org/W4386021462"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Global":[0],"mortality":[1],"rates":[2],"are":[3,22,26,54],"high":[4],"due":[5,178],"to":[6,12,72,179,211,236],"heart":[7,57,66,106,164,213,238],"disease,":[8],"it":[9,188],"is":[10],"crucial":[11],"early":[13],"analyzing":[14],"the":[15,82,95,102,138,150,173,202,224],"risk":[16,59,68,108,142,166,215],"factors":[17,69,109,143,167],"of":[18,65,204,226],"prediction":[19],"and":[20,40,52,89,153,169,182,208,217,228,241],"diagnosis":[21],"crucial.":[23],"Decision":[24,160],"trees":[25,210],"a":[27,118],"reliable":[28],"machine-learning":[29],"method":[30],"for":[31,56,155],"this":[32],"problem.":[33],"Four":[34],"decision":[35,74,175,209,230],"tree":[36,75,161,176,231],"algorithms":[37,162],"CART":[38,103],"(Classification":[39],"Regression":[41],"Trees),":[42],"C5.0,":[43],"M5P":[44],"(Model":[45],"Tree":[46],"with":[47,144],"Linear":[48],"Models":[49],"in":[50],"Leaves),":[51],"XGBoost":[53,136,171,227],"tested":[55],"disease":[58,67,107,165,214,239],"factor":[60],"prediction.":[61],"An":[62],"extensive":[63],"dataset":[64,121],"was":[70,137,172],"used":[71,84],"evaluate":[73],"algorithms.":[76],"To":[77],"assess":[78],"model":[79],"performance":[80],"rigorously,":[81],"study":[83,200],"data":[85,116],"preprocessing,":[86],"feature":[87],"selection,":[88],"stratified":[90],"cross-validation.":[91],"The":[92,111,147],"results":[93],"from":[94],"experiments":[96],"were":[97],"significant.":[98],"Despite":[99],"its":[100,180],"simplicity,":[101],"algorithm":[104,113,177],"predicted":[105],"accurately.":[110],"C5.0":[112],"handled":[114],"missing":[115],"well,":[117],"common":[119],"healthcare":[120],"issue.":[122],"M5P,":[123],"which":[124],"integrates":[125],"linear":[126],"models":[127,232],"into":[128,233],"leaf":[129],"nodes,":[130],"improves":[131],"interpretability":[132],"without":[133],"compromising":[134],"accuracy.":[135,146],"best":[139,174],"model,":[140],"predicting":[141],"99.32%":[145],"result":[148],"shows":[149],"algorithm's":[151],"durability":[152],"suitability":[154],"complex":[156],"medical":[157],"diagnostic":[158],"tasks.":[159],"predict":[163],"effectively":[168],"clearly.":[170],"accuracy":[181],"reliability.":[183],"This":[184,199],"technology's":[185],"precision":[186],"suggests":[187],"could":[189,222],"help":[190],"doctors":[191],"make":[192],"quick,":[193],"accurate":[194],"diagnoses,":[195],"potentially":[196],"saving":[197],"lives.":[198],"highlights":[201],"importance":[203],"using":[205],"machine":[206],"learning":[207],"improve":[212,237],"assessment":[216],"patient":[218],"care.":[219],"Further":[220],"research":[221],"examine":[223],"integration":[225],"other":[229],"clinical":[234],"practice":[235],"detection":[240],"treatment.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}