{"id":"https://openalex.org/W4200108795","doi":"https://doi.org/10.1186/s12911-021-01731-3","title":"Machine learning approaches for the prediction of postoperative complication risk in liver resection patients","display_name":"Machine learning approaches for the prediction of postoperative complication risk in liver resection patients","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4200108795","doi":"https://doi.org/10.1186/s12911-021-01731-3","pmid":"https://pubmed.ncbi.nlm.nih.gov/34969378"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-021-01731-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-021-01731-3","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-021-01731-3","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-021-01731-3","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032384276","display_name":"Siyu Zeng","orcid":"https://orcid.org/0000-0001-7007-5647"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyu Zeng","raw_affiliation_strings":["Business School, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Business School, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101872647","display_name":"Lele Li","orcid":"https://orcid.org/0000-0002-3607-3821"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lele Li","raw_affiliation_strings":["School of Labor and Human Resources, Renmin University of China, Beijing, China. lilele@ruc.edu.cn","School of Labor and Human Resources, Renmin University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Labor and Human Resources, Renmin University of China, Beijing, China. lilele@ruc.edu.cn","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"School of Labor and Human Resources, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039275119","display_name":"Yanjie Hu","orcid":"https://orcid.org/0000-0003-1147-7632"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanjie Hu","raw_affiliation_strings":["West China School of Nursing, West China Hospital, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"West China School of Nursing, West China Hospital, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112298070","display_name":"Li Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Luo","raw_affiliation_strings":["Business School, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Business School, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065664639","display_name":"Yuanchen Fang","orcid":"https://orcid.org/0000-0002-8555-4488"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanchen Fang","raw_affiliation_strings":["Business School, Sichuan University, Chengdu, China. y.fang@scu.edu.cn","Business School, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Business School, Sichuan University, Chengdu, China. y.fang@scu.edu.cn","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"Business School, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101872647"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":{"value":1570,"currency":"GBP","value_usd":1925},"apc_paid":{"value":1570,"currency":"GBP","value_usd":1925},"fwci":3.1782,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.93169259,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"21","issue":"1","first_page":"371","last_page":"371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11930","display_name":"Cardiac, Anesthesia and Surgical Outcomes","score":0.5059999823570251,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T11930","display_name":"Cardiac, Anesthesia and Surgical Outcomes","score":0.5059999823570251,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T10073","display_name":"Hepatocellular Carcinoma Treatment and Prognosis","score":0.14489999413490295,"subfield":{"id":"https://openalex.org/subfields/2721","display_name":"Hepatology"},"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/T12020","display_name":"Enhanced Recovery After Surgery","score":0.04129999876022339,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.7341325283050537},{"id":"https://openalex.org/keywords/perioperative","display_name":"Perioperative","score":0.7068795561790466},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.6889550089836121},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.6691673994064331},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.63266521692276},{"id":"https://openalex.org/keywords/complication","display_name":"Complication","score":0.6209628582000732},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5293232798576355},{"id":"https://openalex.org/keywords/cart","display_name":"Cart","score":0.5003237724304199},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4449898600578308},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40070196986198425},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.3974009156227112},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.32265666127204895},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.20859330892562866},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.20369714498519897}],"concepts":[{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.7341325283050537},{"id":"https://openalex.org/C31174226","wikidata":"https://www.wikidata.org/wiki/Q64855140","display_name":"Perioperative","level":2,"score":0.7068795561790466},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6889550089836121},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6691673994064331},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.63266521692276},{"id":"https://openalex.org/C81182388","wikidata":"https://www.wikidata.org/wiki/Q353963","display_name":"Complication","level":2,"score":0.6209628582000732},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5293232798576355},{"id":"https://openalex.org/C2777275308","wikidata":"https://www.wikidata.org/wiki/Q234668","display_name":"Cart","level":2,"score":0.5003237724304199},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4449898600578308},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40070196986198425},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.3974009156227112},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.32265666127204895},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.20859330892562866},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.20369714498519897},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008099","descriptor_name":"Liver","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008099","descriptor_name":"Liver","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008099","descriptor_name":"Liver","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011183","descriptor_name":"Postoperative Complications","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D011183","descriptor_name":"Postoperative Complications","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D011183","descriptor_name":"Postoperative Complications","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D011183","descriptor_name":"Postoperative Complications","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D011183","descriptor_name":"Postoperative Complications","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D011183","descriptor_name":"Postoperative Complications","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12911-021-01731-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-021-01731-3","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-021-01731-3","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},{"id":"pmid:34969378","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34969378","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC medical informatics and decision making","raw_type":null},{"id":"pmh:oai:doaj.org/article:84a828f2533a4686ad26ee28905c593a","is_oa":true,"landing_page_url":"https://doaj.org/article/84a828f2533a4686ad26ee28905c593a","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,"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":"BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-10 (2021)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8719378","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8719378","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Inform Decis Mak","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12911-021-01731-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-021-01731-3","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-021-01731-3","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6399999856948853,"display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G3789296988","display_name":null,"funder_award_id":"72102159","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6179926273","display_name":null,"funder_award_id":"72102159","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7296440983","display_name":null,"funder_award_id":"SXYPY202135","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7714950585","display_name":null,"funder_award_id":"SXYPY202135","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322990","display_name":"Sichuan University","ror":"https://ror.org/011ashp19"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4200108795.pdf","grobid_xml":"https://content.openalex.org/works/W4200108795.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1708141306","https://openalex.org/W2005129236","https://openalex.org/W2024885453","https://openalex.org/W2035743886","https://openalex.org/W2042438274","https://openalex.org/W2045030989","https://openalex.org/W2045316661","https://openalex.org/W2089367555","https://openalex.org/W2103011157","https://openalex.org/W2116723496","https://openalex.org/W2137869551","https://openalex.org/W2144173184","https://openalex.org/W2163403599","https://openalex.org/W2258132393","https://openalex.org/W2325558297","https://openalex.org/W2511949878","https://openalex.org/W2594009848","https://openalex.org/W2910059750","https://openalex.org/W2940596626","https://openalex.org/W2953156078","https://openalex.org/W2965640442","https://openalex.org/W2977262858","https://openalex.org/W2979644603","https://openalex.org/W2981085269","https://openalex.org/W2983460561","https://openalex.org/W2985357865","https://openalex.org/W2998807005","https://openalex.org/W3001510949","https://openalex.org/W3006913750","https://openalex.org/W3011484826","https://openalex.org/W3011490197","https://openalex.org/W3014876418","https://openalex.org/W3022245226","https://openalex.org/W3028159969","https://openalex.org/W3122035703","https://openalex.org/W4255638682"],"related_works":["https://openalex.org/W4220854656","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W2004826645","https://openalex.org/W3135818052","https://openalex.org/W4366990902","https://openalex.org/W4317732970","https://openalex.org/W4388550696","https://openalex.org/W4313289487"],"abstract_inverted_index":{"BACKGROUND:":[0],"For":[1],"liver":[2,46,86,111,117,169,298],"cancer":[3,47,87,112],"patients,":[4,21],"the":[5,11,17,39,62,85,98,102,130,135,141,189,209,217,221,230,234,252,271,304,314,322,325,328],"occurrence":[6],"of":[7,13,20,41,61,100,104,129,146,183,192,205,211,233,258,266,273,277,281,287,293,306,327],"postoperative":[8,68,165,193,294],"complications":[9,42,92,194],"increases":[10,26],"difficulty":[12],"perioperative":[14],"nursing,":[15],"prolongs":[16],"hospitalization":[18,28],"time":[19],"and":[22,36,97,123,138,160,241,275,285,324],"leads":[23],"to":[24,32,37,53,65,89,202,207,310],"large":[25],"in":[27,43,168,297],"costs.":[29],"The":[30,59,107,144,174,198,225,279],"ability":[31],"identify":[33],"influencing":[34,176,291],"factors":[35,177,292],"predict":[38,90],"risk":[40,70,103,167,195,210,296,305],"patients":[44,113,171],"with":[45,94,263],"after":[48],"surgery":[49],"could":[50],"assist":[51],"doctors":[52],"make":[54],"better":[55],"clinical":[56,95],"decisions.":[57],"OBJECTIVE:":[58],"aim":[60],"study":[63,108],"was":[64,196],"develop":[66],"a":[67],"complication":[69,166,295],"prediction":[71,190],"model":[72,191],"based":[73,186],"on":[74,187],"machine":[75,148,236],"learning":[76,149,237],"algorithms,":[77],"which":[78,188],"utilizes":[79],"variables":[80,125],"obtained":[81],"before":[82,321],"or":[83],"during":[84],"surgery,":[88],"when":[91],"present":[93],"symptoms":[96],"ways":[99],"reducing":[101],"complications.":[105,212],"METHODS:":[106],"subjects":[109],"were":[110,120,126,132,172,178,200,243,289],"who":[114],"had":[115,229],"undergone":[116],"resection.":[118],"There":[119],"175":[121],"individuals,":[122],"13":[124],"recorded.":[127],"70%":[128],"data":[131],"used":[133,244],"for":[134,140,163],"training":[136],"set,":[137],"30%":[139],"test":[142],"set.":[143],"performance":[145,219,232],"five":[147,235],"models,":[150],"logistic":[151],"regression,":[152],"decision":[153,155,222,226],"trees-C5.0,":[154],"trees-CART,":[156],"support":[157],"vector":[158],"machines,":[159],"random":[161],"forests,":[162],"predicting":[164],"resection":[170,299],"compared.":[173],"significant":[175,290],"selected":[179],"by":[180],"combining":[181],"results":[182,199],"multiple":[184],"methods,":[185],"created.":[197],"analyzed":[201],"give":[203],"suggestions":[204],"how":[206],"reduce":[208,303],"RESULTS:":[213],"Random":[214],"Forest":[215],"gave":[216],"best":[218,231],"from":[220],"curves":[223],"analysis.":[224],"tree-C5.0":[227],"algorithm":[228],"algorithms":[238],"if":[239],"ACC":[240],"AUC":[242],"as":[245],"evaluation":[246],"indicators,":[247],"producing":[248],"an":[249,264],"area":[250],"under":[251],"receiver":[253],"operating":[254],"characteristic":[255],"curve":[256],"value":[257],"0.91":[259],"(95%":[260,268],"CI":[261,269],"0.77-1),":[262],"accuracy":[265],"92.45%":[267],"85-100%),":[270],"sensitivity":[272],"87.5%,":[274],"specificity":[276],"94.59%.":[278],"duration":[280,326],"operation,":[282,323],"patient's":[283,315],"BMI,":[284],"length":[286],"incision":[288],"patients.":[300],"CONCLUSIONS:":[301],"To":[302],"complications,":[307],"it":[308],"appears":[309],"be":[311,318,331],"important":[312],"that":[313],"BMI":[316],"should":[317,330],"above":[319],"22.96":[320],"operation":[329],"minimized.":[332]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-10T14:10:52.464848","created_date":"2025-10-10T00:00:00"}