{"id":"https://openalex.org/W4402454382","doi":"https://doi.org/10.1145/3674029.3674058","title":"Chronic Diseases Prediction using two different pipelines TPOT and Genetic Algorithm based models: A Comparative analysis","display_name":"Chronic Diseases Prediction using two different pipelines TPOT and Genetic Algorithm based models: A Comparative analysis","publication_year":2024,"publication_date":"2024-05-24","ids":{"openalex":"https://openalex.org/W4402454382","doi":"https://doi.org/10.1145/3674029.3674058"},"language":"en","primary_location":{"id":"doi:10.1145/3674029.3674058","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3674029.3674058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 9th International Conference on Machine Learning Technologies (ICMLT)","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/A5103954087","display_name":"Akansha Singh","orcid":"https://orcid.org/0000-0002-5683-2055"},"institutions":[{"id":"https://openalex.org/I105454292","display_name":"Guru Gobind Singh Indraprastha University","ror":"https://ror.org/034q1za58","country_code":"IN","type":"education","lineage":["https://openalex.org/I105454292"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Akansha Singh","raw_affiliation_strings":["University School of ICT, Guru Gobind Singh Indraprastha University, India"],"raw_orcid":"https://orcid.org/0000-0002-5683-2055","affiliations":[{"raw_affiliation_string":"University School of ICT, Guru Gobind Singh Indraprastha University, India","institution_ids":["https://openalex.org/I105454292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027830149","display_name":"Nupur Prakash","orcid":"https://orcid.org/0009-0003-7786-4210"},"institutions":[{"id":"https://openalex.org/I129798099","display_name":"The NorthCap University","ror":"https://ror.org/0343j7r38","country_code":"IN","type":"education","lineage":["https://openalex.org/I129798099"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nupur Prakash","raw_affiliation_strings":["Computer Science & Engineering, Northcap University, India"],"raw_orcid":"https://orcid.org/0009-0003-7786-4210","affiliations":[{"raw_affiliation_string":"Computer Science & Engineering, Northcap University, India","institution_ids":["https://openalex.org/I129798099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050998276","display_name":"Anurag Jain","orcid":"https://orcid.org/0000-0001-6804-2758"},"institutions":[{"id":"https://openalex.org/I105454292","display_name":"Guru Gobind Singh Indraprastha University","ror":"https://ror.org/034q1za58","country_code":"IN","type":"education","lineage":["https://openalex.org/I105454292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anurag Jain","raw_affiliation_strings":["University School of ICT, Guru Gobind Singh Indraprastha University, India"],"raw_orcid":"https://orcid.org/0000-0001-6804-2758","affiliations":[{"raw_affiliation_string":"University School of ICT, Guru Gobind Singh Indraprastha University, India","institution_ids":["https://openalex.org/I105454292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103954087"],"corresponding_institution_ids":["https://openalex.org/I105454292"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19273571,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"175","last_page":"180"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9937000274658203,"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":0.9937000274658203,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.911300003528595,"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/computer-science","display_name":"Computer science","score":0.587084949016571},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4940252900123596},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.46820905804634094},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.46653300523757935},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2293263077735901},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1181376576423645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.587084949016571},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4940252900123596},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.46820905804634094},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.46653300523757935},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2293263077735901},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1181376576423645},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3674029.3674058","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3674029.3674058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 9th International Conference on Machine Learning Technologies (ICMLT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.4300000071525574,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2138621811","https://openalex.org/W3194175849","https://openalex.org/W4220862496","https://openalex.org/W4229379232","https://openalex.org/W4382119581","https://openalex.org/W4385574744","https://openalex.org/W4388344522","https://openalex.org/W7009644958","https://openalex.org/W7017359947"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Chronic":[0],"diseases":[1],"are":[2],"a":[3,132,153],"significant":[4],"burden":[5],"on":[6,43,109],"public":[7],"health":[8],"systems":[9],"worldwide,":[10],"and":[11,50,79,107,112,126,135,151],"early":[12],"detection":[13],"is":[14],"crucial":[15],"for":[16,29,47,138],"their":[17],"effective":[18,136],"management.":[19],"While":[20],"automated":[21],"tools":[22],"such":[23,37],"as":[24,38],"TPOT":[25,62,99],"have":[26,35],"proven":[27],"useful":[28],"predicting":[30,70,139],"chronic":[31,72,140],"diseases,":[32,73],"they":[33],"still":[34],"limitations":[36],"complex":[39],"pipeline":[40],"structures,":[41],"dependence":[42],"random":[44],"search":[45],"methods":[46],"hyperparameter":[48],"tuning,":[49],"lengthy":[51],"model":[52],"building":[53],"times.":[54],"To":[55],"address":[56],"these":[57],"limitations,":[58],"this":[59],"study":[60],"compared":[61],"with":[63,123],"self-designed":[64],"Genetic":[65],"Algorithm":[66],"(GA)-based":[67],"pipelines":[68,83,97,148],"in":[69,100],"several":[71],"including":[74],"COPD,":[75],"Cancer,":[76],"Heart":[77],"Disease,":[78],"Diabetes.":[80],"Three":[81],"GA-based":[82,96,120,147],"were":[84],"created,":[85],"each":[86],"encapsulating":[87],"distinct":[88],"machine":[89],"learning":[90],"models.":[91],"The":[92,116],"results":[93,159],"revealed":[94],"that":[95,119,146],"outperformed":[98],"performance,":[101],"achieving":[102],"exceptional":[103],"accuracies":[104],"of":[105,156],"99%":[106],"93.4%":[108],"the":[110,144],"cancer":[111],"diabetes":[113],"datasets,":[114,130],"respectively.":[115],"findings":[117],"suggest":[118],"models,":[121],"designed":[122],"domain":[124],"expertise":[125],"tailored":[127],"to":[128],"specific":[129],"provide":[131],"more":[133],"reliable":[134],"strategy":[137],"diseases.":[141],"This":[142],"underscores":[143],"notion":[145],"offer":[149],"clinicians":[150],"practitioners":[152],"dependable":[154],"means":[155],"obtaining":[157],"accurate":[158],"expeditiously.":[160]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}