{"id":"https://openalex.org/W4391267040","doi":"https://doi.org/10.1109/ic3i59117.2023.10397980","title":"A Comparative Survey on Machine Learning Techniques for Prediction of Liver Disease","display_name":"A Comparative Survey on Machine Learning Techniques for Prediction of Liver Disease","publication_year":2023,"publication_date":"2023-09-14","ids":{"openalex":"https://openalex.org/W4391267040","doi":"https://doi.org/10.1109/ic3i59117.2023.10397980"},"language":"en","primary_location":{"id":"doi:10.1109/ic3i59117.2023.10397980","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i59117.2023.10397980","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Contemporary Computing and Informatics (IC3I)","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/A5114083541","display_name":"Sunil Kumar","orcid":"https://orcid.org/0000-0001-5444-8175"},"institutions":[{"id":"https://openalex.org/I155284866","display_name":"Maharishi Markandeshwar University, Mullana","ror":"https://ror.org/013qfkw58","country_code":"IN","type":"education","lineage":["https://openalex.org/I155284866"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sunil Kumar","raw_affiliation_strings":["Maharishi Markandeshwar (Deemed to be University),MMICT&BM (MCA),Mullana-Ambala,Haryana,India"],"affiliations":[{"raw_affiliation_string":"Maharishi Markandeshwar (Deemed to be University),MMICT&BM (MCA),Mullana-Ambala,Haryana,India","institution_ids":["https://openalex.org/I155284866"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017472466","display_name":"Pooja Rani","orcid":"https://orcid.org/0000-0001-9312-4069"},"institutions":[{"id":"https://openalex.org/I155284866","display_name":"Maharishi Markandeshwar University, Mullana","ror":"https://ror.org/013qfkw58","country_code":"IN","type":"education","lineage":["https://openalex.org/I155284866"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pooja Rani","raw_affiliation_strings":["Maharishi Markandeshwar (Deemed to be University),MMICT&BM (MCA),Mullana-Ambala,Haryana,India"],"affiliations":[{"raw_affiliation_string":"Maharishi Markandeshwar (Deemed to be University),MMICT&BM (MCA),Mullana-Ambala,Haryana,India","institution_ids":["https://openalex.org/I155284866"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5114083541"],"corresponding_institution_ids":["https://openalex.org/I155284866"],"apc_list":null,"apc_paid":null,"fwci":1.1066,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.80104162,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1796","last_page":"1801"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10351","display_name":"Liver Disease Diagnosis and Treatment","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10351","display_name":"Liver Disease Diagnosis and Treatment","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9925000071525574,"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/machine-learning","display_name":"Machine learning","score":0.8422772884368896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7851047515869141},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7488908767700195},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7040307521820068},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6200302243232727},{"id":"https://openalex.org/keywords/liver-disease","display_name":"Liver disease","score":0.5632977485656738},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5571402311325073},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.441814124584198},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4310583472251892},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.42352554202079773},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15468811988830566},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.1220918595790863}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.8422772884368896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7851047515869141},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7488908767700195},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7040307521820068},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6200302243232727},{"id":"https://openalex.org/C2777075537","wikidata":"https://www.wikidata.org/wiki/Q929737","display_name":"Liver disease","level":2,"score":0.5632977485656738},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5571402311325073},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.441814124584198},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4310583472251892},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.42352554202079773},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15468811988830566},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.1220918595790863},{"id":"https://openalex.org/C90924648","wikidata":"https://www.wikidata.org/wiki/Q120569","display_name":"Gastroenterology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3i59117.2023.10397980","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i59117.2023.10397980","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Contemporary Computing and Informatics (IC3I)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W192788113","https://openalex.org/W1577386286","https://openalex.org/W2000031547","https://openalex.org/W2093803225","https://openalex.org/W2107726111","https://openalex.org/W2734641096","https://openalex.org/W2795958278","https://openalex.org/W2942279240","https://openalex.org/W3003415554","https://openalex.org/W3016322108","https://openalex.org/W3126325819","https://openalex.org/W3156342548","https://openalex.org/W3159809440","https://openalex.org/W3159988495","https://openalex.org/W3201271601","https://openalex.org/W3210526060","https://openalex.org/W4206177210","https://openalex.org/W4281742004","https://openalex.org/W4313478875","https://openalex.org/W4376269488"],"related_works":["https://openalex.org/W4396689146","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W2004826645","https://openalex.org/W4366990902","https://openalex.org/W4317732970","https://openalex.org/W2944292463","https://openalex.org/W4388550696","https://openalex.org/W3014252901"],"abstract_inverted_index":{"The":[0,41,83,139],"number":[1],"of":[2,4,14,62,69,73,76,98,116,141,182,193,205],"cases":[3],"liver":[5,45,70,84,117,169,217],"diseases":[6],"has":[7,58],"been":[8],"rising":[9],"quickly":[10],"as":[11],"a":[12,86,176],"result":[13],"heavy":[15],"alcohol":[16],"use,":[17,19],"drug":[18],"breathing":[20],"contaminated":[21],"air,":[22],"tainted":[23],"food,":[24],"and":[25,104,136,161,167,179,189,201],"pickle":[26],"eating.":[27],"Automated":[28],"expert":[29],"systems":[30],"can":[31,110],"help":[32],"clinicians":[33],"make":[34],"automated":[35],"predictions":[36],"to":[37,43,165,174,215],"address":[38],"this":[39,63,171],"issue.":[40],"ability":[42],"detect":[44],"disease":[46,102],"in":[47,51,55,89,197],"its":[48],"early":[49,99],"stages":[50],"the":[52,74,93,96,114,158,194,198,203,206],"recent":[53],"developments":[54],"machine":[56,77,107],"learning":[57,78,108],"facilitated":[59],"prompt":[60],"detection":[61,68,115],"potentially":[64],"deadly":[65],"condition.":[66],"Early":[67],"illness":[71],"because":[72],"advancement":[75],"may":[79],"even":[80],"save":[81],"lives.":[82],"plays":[85],"crucial":[87],"role":[88],"eliminating":[90],"toxins":[91],"from":[92],"body,":[94],"underscoring":[95],"importance":[97],"prediction":[100],"for":[101,113],"diagnosis":[103],"recovery.":[105],"Different":[106],"techniques":[109],"be":[111],"used":[112,196,212],"disease.":[118,218],"Some":[119],"commonly":[120],"employed":[121],"methods":[122],"include":[123],"Decision":[124],"Trees,":[125],"Support":[126],"Vector":[127],"Machines":[128],"(SVM),":[129],"K-Nearest":[130],"Neighbors":[131],"(KNN),":[132],"Artificial":[133],"Neural":[134],"Networks,":[135],"Ensemble":[137],"classifiers.":[138],"evaluation":[140],"classification":[142],"algorithms":[143],"involves":[144],"assessing":[145],"them":[146],"using":[147],"diverse":[148],"measurement":[149],"criteria,":[150],"including":[151],"accuracy,":[152],"precision,":[153,188],"recall,":[154],"f1-score,":[155],"area":[156],"under":[157],"curve":[159],"(AUC),":[160],"specificity.":[162],"In":[163],"order":[164],"diagnose":[166],"forecast":[168],"disease,":[170],"work":[172],"intends":[173],"provide":[175],"thorough":[177],"overview":[178],"comparative":[180],"analysis":[181],"several":[183],"ML":[184],"algorithms.":[185],"Accuracy,":[186],"sensitivity,":[187],"specificity":[190],"are":[191],"some":[192],"criteria":[195],"evaluation.":[199],"Reviewing":[200],"contrasting":[202],"results":[204],"multiple":[207],"researchers":[208],"who":[209],"have":[210],"already":[211],"these":[213],"approaches":[214],"predict":[216]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}