{"id":"https://openalex.org/W3140312902","doi":"https://doi.org/10.48048/wjst.2021.9169","title":"Liver Cancer Patient Classification on a Multiple-Stage using Hybrid Classification Methods","display_name":"Liver Cancer Patient Classification on a Multiple-Stage using Hybrid Classification Methods","publication_year":2021,"publication_date":"2021-04-20","ids":{"openalex":"https://openalex.org/W3140312902","doi":"https://doi.org/10.48048/wjst.2021.9169","mag":"3140312902"},"language":"en","primary_location":{"id":"doi:10.48048/wjst.2021.9169","doi":"https://doi.org/10.48048/wjst.2021.9169","is_oa":true,"landing_page_url":"https://doi.org/10.48048/wjst.2021.9169","pdf_url":"https://wjst.wu.ac.th/index.php/wjst/article/download/9169/2150","source":{"id":"https://openalex.org/S2739205132","display_name":"Walailak Journal of Science and Technology (WJST)","issn_l":"1686-3933","issn":["1686-3933","2228-835X"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310319383","host_organization_name":"Walailak University","host_organization_lineage":["https://openalex.org/P4310319383"],"host_organization_lineage_names":["Walailak University"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Walailak Journal of Science and Technology (WJST)","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://wjst.wu.ac.th/index.php/wjst/article/download/9169/2150","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038665406","display_name":"Orasa Patsadu","orcid":"https://orcid.org/0000-0001-9376-5237","observed_orcids":["https://orcid.org/0000-0001-9376-5237"]},"institutions":[{"id":"https://openalex.org/I4210094798","display_name":"Rajamangala University of Technology Krungthep","ror":"https://ror.org/00wcxq223","country_code":"TH","type":"education","lineage":["https://openalex.org/I10245363","https://openalex.org/I4210094798"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Orasa PATSADU","raw_affiliation_strings":["Faculty of Science and Technology, Rajamangala University of Technology Krungthep, Bangkok 10120, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, Rajamangala University of Technology Krungthep, Bangkok 10120, Thailand","institution_ids":["https://openalex.org/I4210094798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013588264","display_name":"Pongsakorn TANGCHITWILAIKUN","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210094798","display_name":"Rajamangala University of Technology Krungthep","ror":"https://ror.org/00wcxq223","country_code":"TH","type":"education","lineage":["https://openalex.org/I10245363","https://openalex.org/I4210094798"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Pongsakorn TANGCHITWILAIKUN","raw_affiliation_strings":["Faculty of Science and Technology, Rajamangala University of Technology Krungthep,  Bangkok 10120, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, Rajamangala University of Technology Krungthep,  Bangkok 10120, Thailand","institution_ids":["https://openalex.org/I4210094798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067851022","display_name":"Supanut LOWSUWANKUL","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210094798","display_name":"Rajamangala University of Technology Krungthep","ror":"https://ror.org/00wcxq223","country_code":"TH","type":"education","lineage":["https://openalex.org/I10245363","https://openalex.org/I4210094798"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Supanut LOWSUWANKUL","raw_affiliation_strings":["Faculty of Science and Technology, Rajamangala University of Technology Krungthep,  Bangkok 10120, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, Rajamangala University of Technology Krungthep,  Bangkok 10120, Thailand","institution_ids":["https://openalex.org/I4210094798"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210094798"],"apc_list":null,"apc_paid":null,"fwci":1.0269,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75896087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":97},"biblio":{"volume":"18","issue":"9","first_page":"Manuscript","last_page":"Manuscript"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.00139999995008111,"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"}},{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.0010999999940395355,"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/liver-cancer-detection","display_name":"liver cancer detection","score":0.8199999928474426},{"id":"https://openalex.org/keywords/indian-liver-patient-dataset","display_name":"Indian Liver Patient Dataset","score":0.6909999847412109},{"id":"https://openalex.org/keywords/class-imbalance","display_name":"class imbalance","score":0.5630000233650208},{"id":"https://openalex.org/keywords/multi-stage-classification","display_name":"multi-stage classification","score":0.878000020980835},{"id":"https://openalex.org/keywords/hybrid-classifier","display_name":"hybrid classifier","score":0.8240000009536743},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"multilayer perceptron","score":0.9779999852180481},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.8880000114440918},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"logistic regression","score":0.9829999804496765},{"id":"https://openalex.org/keywords/clinical-decision-support-systems","display_name":"clinical decision support systems","score":0.7080000042915344}],"concepts":[{"id":"https://openalex.org/C50965678","wikidata":"https://www.wikidata.org/wiki/Q2724302","display_name":"Abnormality","level":2,"score":0.8422880172729492},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.662859320640564},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.6327531933784485},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6115128993988037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6051042079925537},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5095670223236084},{"id":"https://openalex.org/C2776231280","wikidata":"https://www.wikidata.org/wiki/Q623031","display_name":"Liver cancer","level":3,"score":0.4933070242404938},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4872349798679352},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.47916164994239807},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4600744843482971},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4123993515968323},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38491034507751465},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32706332206726074},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23314732313156128},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14966070652008057},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.10492745041847229},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.48048/wjst.2021.9169","doi":"https://doi.org/10.48048/wjst.2021.9169","is_oa":true,"landing_page_url":"https://doi.org/10.48048/wjst.2021.9169","pdf_url":"https://wjst.wu.ac.th/index.php/wjst/article/download/9169/2150","source":{"id":"https://openalex.org/S2739205132","display_name":"Walailak Journal of Science and Technology (WJST)","issn_l":"1686-3933","issn":["1686-3933","2228-835X"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310319383","host_organization_name":"Walailak University","host_organization_lineage":["https://openalex.org/P4310319383"],"host_organization_lineage_names":["Walailak University"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Walailak Journal of Science and Technology (WJST)","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2a5d22fd28bb42f1a859da54e47dba52","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/2a5d22fd28bb42f1a859da54e47dba52","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Walailak Journal of Science and Technology, Vol 18, Iss 10 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.48048/wjst.2021.9169","doi":"https://doi.org/10.48048/wjst.2021.9169","is_oa":true,"landing_page_url":"https://doi.org/10.48048/wjst.2021.9169","pdf_url":"https://wjst.wu.ac.th/index.php/wjst/article/download/9169/2150","source":{"id":"https://openalex.org/S2739205132","display_name":"Walailak Journal of Science and Technology (WJST)","issn_l":"1686-3933","issn":["1686-3933","2228-835X"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310319383","host_organization_name":"Walailak University","host_organization_lineage":["https://openalex.org/P4310319383"],"host_organization_lineage_names":["Walailak University"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Walailak Journal of Science and Technology (WJST)","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.9763000011444092}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3140312902.pdf","grobid_xml":"https://content.openalex.org/works/W3140312902.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W19461878","https://openalex.org/W39179355","https://openalex.org/W208128215","https://openalex.org/W2008661549","https://openalex.org/W2047146435","https://openalex.org/W2061743943","https://openalex.org/W2115969689","https://openalex.org/W2138954090","https://openalex.org/W2140190241","https://openalex.org/W2148143831","https://openalex.org/W2161940169","https://openalex.org/W2387336614","https://openalex.org/W2481791080","https://openalex.org/W2559839167","https://openalex.org/W2575265287","https://openalex.org/W2613460655","https://openalex.org/W2734641096","https://openalex.org/W2777980881","https://openalex.org/W2786180624","https://openalex.org/W2786621683","https://openalex.org/W2806322089","https://openalex.org/W2888284694","https://openalex.org/W2889019468","https://openalex.org/W2896043627","https://openalex.org/W2899469014","https://openalex.org/W2907656407","https://openalex.org/W2941448406","https://openalex.org/W2947071838","https://openalex.org/W2949515600","https://openalex.org/W2971441893","https://openalex.org/W3001901357","https://openalex.org/W3010749409","https://openalex.org/W3045656945","https://openalex.org/W3120740533","https://openalex.org/W4250226535"],"related_works":["https://openalex.org/W4387019351","https://openalex.org/W3099361481","https://openalex.org/W4413459839","https://openalex.org/W4312707796","https://openalex.org/W4407180533","https://openalex.org/W7164806192","https://openalex.org/W7212241710","https://openalex.org/W4307275777","https://openalex.org/W4200435863","https://openalex.org/W4411501419"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,18,182],"model":[4,46,121,135,155,161,180],"to":[5,43,99,186],"detect":[6,125],"liver":[7,25,58,69,126,147],"cancer":[8,59,127],"patients":[9],"and":[10,39,89,111,167,174,189],"estimate":[11],"the":[12,45,74,119,193],"abnormality":[13,66,78,144],"level":[14,67,79,145],"of":[15,68,80,106,140,146,195],"livers":[16,81],"using":[17,50,73],"classification":[19,52,102],"method":[20,96],"based":[21,47],"on":[22,48],"an":[23,198],"Indian":[24],"patient":[26,60,128],"dataset.":[27,158],"The":[28,54,62,77,114,133],"dataset":[29],"is":[30,57,65,82,97,181],"prepared":[31],"by":[32],"3":[33,85],"processes:":[34],"preliminary":[35],"study,":[36],"data":[37],"cleansing,":[38],"handling":[40],"imbalanced":[41],"class":[42],"build":[44,100],"multiple-stages":[49],"hybrid":[51],"methods.":[53],"1st":[55,120],"stage":[56,64,172,175],"detection.":[61],"2nd":[63,134],"estimation,":[70],"as":[71],"divided":[72,83],"DeRitis":[75],"Ratio.":[76],"into":[84],"levels:":[86],"low,":[87],"medium,":[88],"high,":[90],"called":[91],"ALL":[92],"framework.":[93],"Machine":[94],"learning":[95],"used":[98],"multiple":[101],"stages,":[103],"which":[104],"consist":[105],"Multilayer":[107],"Perceptron,":[108],"Logistic":[109],"Regression,":[110],"Random":[112],"Forest.":[113],"experimental":[115],"results":[116],"demonstrate":[117],"that":[118],"(stage":[122,136],"I)":[123],"can":[124],"with":[129,156,165],"78.88":[130],"%":[131,142,169],"accuracy.":[132],"II)":[137],"achieves":[138],"accuracy":[139,170],"99.83":[141],"for":[143,184],"estimation.":[148],"In":[149],"addition,":[150],"we":[151],"compare":[152],"our":[153],"proposed":[154,160,179],"another":[157],"Our":[159,178],"also":[162],"outperforms":[163],"detection":[164],"76.73":[166],"98.26":[168],"in":[171,192],"I":[173],"II,":[176],"respectively.":[177],"benefit":[183],"physicians":[185,196],"support":[187,201],"diagnosis":[188],"treatment,":[190],"especially":[191],"case":[194],"desiring":[197],"intelligent":[199],"decision":[200],"system.":[202]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2021-04-13T00:00:00"}
