{"id":"https://openalex.org/W3113247235","doi":"https://doi.org/10.1145/3429889.3430087","title":"Research on predictive model of liver cirrhosis complicated with liver cancer based on support vector machine","display_name":"Research on predictive model of liver cirrhosis complicated with liver cancer based on support vector machine","publication_year":2020,"publication_date":"2020-09-11","ids":{"openalex":"https://openalex.org/W3113247235","doi":"https://doi.org/10.1145/3429889.3430087","mag":"3113247235"},"language":"en","primary_location":{"id":"doi:10.1145/3429889.3430087","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3429889.3430087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Symposium on Artificial Intelligence in Medical Sciences","raw_type":"proceedings-article"},"type":"conference-paper","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/A5011623048","display_name":"Huifang Lai","orcid":"https://orcid.org/0000-0002-4325-7098"},"institutions":[{"id":"https://openalex.org/I118783713","display_name":"Fujian University of Traditional Chinese Medicine","ror":"https://ror.org/05n0qbd70","country_code":"CN","type":"education","lineage":["https://openalex.org/I118783713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huifang Lai","raw_affiliation_strings":["Fujian university of traditional, Chinese medicine, FuZhou China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian university of traditional, Chinese medicine, FuZhou China","institution_ids":["https://openalex.org/I118783713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101602182","display_name":"Zhihui Huang","orcid":"https://orcid.org/0000-0003-4971-3733"},"institutions":[{"id":"https://openalex.org/I118783713","display_name":"Fujian University of Traditional Chinese Medicine","ror":"https://ror.org/05n0qbd70","country_code":"CN","type":"education","lineage":["https://openalex.org/I118783713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihui Huang","raw_affiliation_strings":["Fujian university of traditional, Chinese medicine, FuZhou China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian university of traditional, Chinese medicine, FuZhou China","institution_ids":["https://openalex.org/I118783713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435629","display_name":"Chi Chen","orcid":"https://orcid.org/0009-0002-2891-5467"},"institutions":[{"id":"https://openalex.org/I4210115910","display_name":"Mengchao Hepatobiliary Hospital","ror":"https://ror.org/029w49918","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210115910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chi Chen","raw_affiliation_strings":["Mengchao hepatobiliary hospital of fujian medical university, FuZhou China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mengchao hepatobiliary hospital of fujian medical university, FuZhou China","institution_ids":["https://openalex.org/I4210115910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404373","display_name":"Feifei Chen","orcid":"https://orcid.org/0000-0002-7251-1956"},"institutions":[{"id":"https://openalex.org/I129708740","display_name":"Fujian Medical University","ror":"https://ror.org/050s6ns64","country_code":"CN","type":"education","lineage":["https://openalex.org/I129708740"]},{"id":"https://openalex.org/I4210163933","display_name":"Union Hospital","ror":"https://ror.org/055gkcy74","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210163933"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feifei Chen","raw_affiliation_strings":["Fujian Medical University Union Hospital, FuZhou China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Medical University Union Hospital, FuZhou China","institution_ids":["https://openalex.org/I129708740","https://openalex.org/I4210163933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460917","display_name":"Hui Wang","orcid":"https://orcid.org/0000-0003-2633-6015"},"institutions":[{"id":"https://openalex.org/I118783713","display_name":"Fujian University of Traditional Chinese Medicine","ror":"https://ror.org/05n0qbd70","country_code":"CN","type":"education","lineage":["https://openalex.org/I118783713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Wang","raw_affiliation_strings":["Fujian university of traditional, Chinese medicine, FuZhou China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian university of traditional, Chinese medicine, FuZhou China","institution_ids":["https://openalex.org/I118783713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057190776","display_name":"Xiaomin Zhu","orcid":"https://orcid.org/0000-0003-1850-8585"},"institutions":[{"id":"https://openalex.org/I118783713","display_name":"Fujian University of Traditional Chinese Medicine","ror":"https://ror.org/05n0qbd70","country_code":"CN","type":"education","lineage":["https://openalex.org/I118783713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomin Zhu","raw_affiliation_strings":["Fujian university of traditional, Chinese medicine, FuZhou China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian university of traditional, Chinese medicine, FuZhou China","institution_ids":["https://openalex.org/I118783713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20489039,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"252","last_page":"256"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9366999864578247,"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":0.9366999864578247,"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/cirrhosis","display_name":"Cirrhosis","score":0.8678476810455322},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6979453563690186},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.6857986450195312},{"id":"https://openalex.org/keywords/liver-cancer","display_name":"Liver cancer","score":0.6813277006149292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5161491632461548},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.42637360095977783},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.3916272521018982},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3702734410762787},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.35237807035446167},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3436858654022217}],"concepts":[{"id":"https://openalex.org/C2777214474","wikidata":"https://www.wikidata.org/wiki/Q147778","display_name":"Cirrhosis","level":2,"score":0.8678476810455322},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6979453563690186},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6857986450195312},{"id":"https://openalex.org/C2776231280","wikidata":"https://www.wikidata.org/wiki/Q623031","display_name":"Liver cancer","level":3,"score":0.6813277006149292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5161491632461548},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.42637360095977783},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3916272521018982},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3702734410762787},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.35237807035446167},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3436858654022217}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3429889.3430087","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3429889.3430087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Symposium on Artificial Intelligence in Medical Sciences","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":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2111547563"],"related_works":["https://openalex.org/W2381582913","https://openalex.org/W2431455317","https://openalex.org/W2360662173","https://openalex.org/W2169735879","https://openalex.org/W2380114548","https://openalex.org/W2372936364","https://openalex.org/W3031265184","https://openalex.org/W2387889855","https://openalex.org/W2365174229","https://openalex.org/W2416355439"],"abstract_inverted_index":{"Purpose:":[0],"This":[1],"article":[2],"aims":[3],"to":[4,17,66,85],"build":[5],"a":[6,48,61,199],"predictive":[7],"model":[8,93,97,114,140],"of":[9,26,40,64,75,111,115,137,141,187,205],"liver":[10,14,27,44,67,70,119,145,175,179,206,210],"cirrhosis":[11,45,68,116,142,176,207],"complicated":[12,117,143,177,208],"with":[13,43,60,94,118,144,178,209],"cancer,":[15],"hoping":[16],"provide":[18,198],"an":[19],"important":[20],"reference":[21,201],"for":[22,202],"the":[23,36,56,73,76,78,87,95,105,112,129,138,148,203],"clinical":[24],"diagnosis":[25],"disease.":[28],"Method:":[29],"First,":[30],"through":[31],"single":[32],"factor":[33],"analysis,":[34],"pre-process":[35],"biochemical":[37,57],"index":[38,58],"data":[39],"265":[41],"patients":[42],"collected":[46],"from":[47],"special":[49],"hospital":[50],"in":[51,162],"Fuzhou":[52],"City,":[53],"and":[54,69,103,128,135,196],"obtain":[55],"fields":[59],"high":[62],"degree":[63],"relevance":[65],"cancer.":[71,180,211],"On":[72],"basis":[74],"set,":[77],"multi-factor":[79],"Logistic":[80,122,188],"regression":[81,123,189],"analysis":[82,124],"is":[83,183],"used":[84],"construct":[86],"final":[88,106],"prediction":[89,96,113,139,164,204],"model.":[90,165],"Compare":[91],"this":[92,163],"constructed":[98],"by":[99],"support":[100,149,168],"vector":[101,150,169],"machine":[102,151,170],"observe":[104],"result.":[107],"Results:":[108],"The":[109,133,167],"accuracy":[110,134,182],"cancer":[120,146],"using":[121,147],"method":[125,152,171],"was":[126,131],"80.75%,":[127],"sensitivity":[130,136],"77.55%.":[132],"reached":[153],"81.48%.":[154],"Support":[155],"Vector":[156],"Machine":[157],"has":[158,192],"better":[159,173],"promotion":[160],"ability":[161],"Conclusion:":[166],"can":[172,197],"predict":[174],"Its":[181],"higher":[184,193],"than":[185],"that":[186],"analysis.":[190],"It":[191],"efficiency":[194],"value":[195],"scientific":[200]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}