{"id":"https://openalex.org/W4413040186","doi":"https://doi.org/10.3233/shti250957","title":"Predicting Nephrectomy Risk in Patients with Renal Cancer Using Real-World Electronic Health Records","display_name":"Predicting Nephrectomy Risk in Patients with Renal Cancer Using Real-World Electronic Health Records","publication_year":2025,"publication_date":"2025-08-07","ids":{"openalex":"https://openalex.org/W4413040186","doi":"https://doi.org/10.3233/shti250957","pmid":"https://pubmed.ncbi.nlm.nih.gov/40775975"},"language":"en","primary_location":{"id":"doi:10.3233/shti250957","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti250957","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/shti250957","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100580589","display_name":"Zhengkang Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I2800717037","display_name":"University of Florida Health","ror":"https://ror.org/04tk2gy88","country_code":"US","type":"education","lineage":["https://openalex.org/I2800717037"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhengkang Fan","raw_affiliation_strings":["Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL 32611, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL 32611, USA","institution_ids":["https://openalex.org/I2800717037"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112674908","display_name":"Chengkun Sun","orcid":"https://orcid.org/0000-0003-2095-9369"},"institutions":[{"id":"https://openalex.org/I2800717037","display_name":"University of Florida Health","ror":"https://ror.org/04tk2gy88","country_code":"US","type":"education","lineage":["https://openalex.org/I2800717037"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chengkun Sun","raw_affiliation_strings":["Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL 32611, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL 32611, USA","institution_ids":["https://openalex.org/I2800717037"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067376467","display_name":"Russell Terry","orcid":"https://orcid.org/0000-0002-3659-060X"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Russell S. Terry","raw_affiliation_strings":["Department of Urology, University of Florida, Gainesville, FL32610, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Urology, University of Florida, Gainesville, FL32610, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030951014","display_name":"Jiang Bian","orcid":"https://orcid.org/0000-0002-2238-5429"},"institutions":[{"id":"https://openalex.org/I2800717037","display_name":"University of Florida Health","ror":"https://ror.org/04tk2gy88","country_code":"US","type":"education","lineage":["https://openalex.org/I2800717037"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiang Bian","raw_affiliation_strings":["Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL 32611, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL 32611, USA","institution_ids":["https://openalex.org/I2800717037"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085531312","display_name":"Jie Xu","orcid":"https://orcid.org/0000-0001-5291-5198"},"institutions":[{"id":"https://openalex.org/I2800717037","display_name":"University of Florida Health","ror":"https://ror.org/04tk2gy88","country_code":"US","type":"education","lineage":["https://openalex.org/I2800717037"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jie Xu","raw_affiliation_strings":["Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL 32611, USA"],"raw_orcid":"https://orcid.org/0000-0001-5291-5198","affiliations":[{"raw_affiliation_string":"Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL 32611, USA","institution_ids":["https://openalex.org/I2800717037"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100580589"],"corresponding_institution_ids":["https://openalex.org/I2800717037"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.43986328,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"329","issue":null,"first_page":"836","last_page":"840"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10449","display_name":"Renal cell carcinoma treatment","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/T10449","display_name":"Renal cell carcinoma treatment","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/T10408","display_name":"Chronic Kidney Disease and Diabetes","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/2727","display_name":"Nephrology"},"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/T12067","display_name":"Renal and Vascular Pathologies","score":0.9718000292778015,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/nephrectomy","display_name":"Nephrectomy","score":0.8144575357437134},{"id":"https://openalex.org/keywords/creatinine","display_name":"Creatinine","score":0.7644988298416138},{"id":"https://openalex.org/keywords/blood-urea-nitrogen","display_name":"Blood urea nitrogen","score":0.7047895193099976},{"id":"https://openalex.org/keywords/electronic-health-record","display_name":"Electronic health record","score":0.6514769792556763},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5701789855957031},{"id":"https://openalex.org/keywords/renal-function","display_name":"Renal function","score":0.4200637638568878},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.38855254650115967},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.3778612017631531},{"id":"https://openalex.org/keywords/urology","display_name":"Urology","score":0.36072391271591187},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3287205100059509},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.3123733103275299},{"id":"https://openalex.org/keywords/kidney","display_name":"Kidney","score":0.2965872287750244}],"concepts":[{"id":"https://openalex.org/C2780227381","wikidata":"https://www.wikidata.org/wiki/Q1357376","display_name":"Nephrectomy","level":3,"score":0.8144575357437134},{"id":"https://openalex.org/C2780306776","wikidata":"https://www.wikidata.org/wiki/Q426660","display_name":"Creatinine","level":2,"score":0.7644988298416138},{"id":"https://openalex.org/C2778176769","wikidata":"https://www.wikidata.org/wiki/Q764079","display_name":"Blood urea nitrogen","level":3,"score":0.7047895193099976},{"id":"https://openalex.org/C3020144179","wikidata":"https://www.wikidata.org/wiki/Q10871684","display_name":"Electronic health record","level":3,"score":0.6514769792556763},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5701789855957031},{"id":"https://openalex.org/C159641895","wikidata":"https://www.wikidata.org/wiki/Q108377937","display_name":"Renal function","level":2,"score":0.4200637638568878},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.38855254650115967},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.3778612017631531},{"id":"https://openalex.org/C126894567","wikidata":"https://www.wikidata.org/wiki/Q105650","display_name":"Urology","level":1,"score":0.36072391271591187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3287205100059509},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.3123733103275299},{"id":"https://openalex.org/C2780091579","wikidata":"https://www.wikidata.org/wiki/Q9377","display_name":"Kidney","level":2,"score":0.2965872287750244},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"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":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D007680","descriptor_name":"Kidney Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D007680","descriptor_name":"Kidney Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D007680","descriptor_name":"Kidney Neoplasms","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D007680","descriptor_name":"Kidney Neoplasms","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D007680","descriptor_name":"Kidney Neoplasms","qualifier_ui":"Q000601","qualifier_name":"surgery","is_major_topic":true},{"descriptor_ui":"D007680","descriptor_name":"Kidney Neoplasms","qualifier_ui":"Q000601","qualifier_name":"surgery","is_major_topic":true},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009392","descriptor_name":"Nephrectomy","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D009392","descriptor_name":"Nephrectomy","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.3233/shti250957","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti250957","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},{"id":"pmid:40775975","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40775975","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":"Studies in health technology and informatics","raw_type":null}],"best_oa_location":{"id":"doi:10.3233/shti250957","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti250957","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1948603161","https://openalex.org/W2909812024","https://openalex.org/W2411849704","https://openalex.org/W1564222293","https://openalex.org/W2387860588","https://openalex.org/W393698729","https://openalex.org/W2050789305","https://openalex.org/W2313598751","https://openalex.org/W2398053996","https://openalex.org/W1991584706"],"abstract_inverted_index":{"Nephrectomy,":[0],"the":[1,37,119],"surgical":[2],"removal":[3],"of":[4,86,91,121],"a":[5,8],"kidney,":[6],"is":[7],"critical":[9],"treatment":[10],"for":[11,50,70],"renal":[12,58],"cancer,":[13],"and":[14,23,62,73,88,113,123,132],"predicting":[15],"its":[16],"likelihood":[17],"can":[18],"help":[19],"guide":[20],"clinical":[21],"decision-making":[22],"optimize":[24],"preoperative":[25],"planning.":[26],"This":[27],"study":[28],"utilized":[29],"real-world":[30,124],"electronic":[31],"health":[32],"record":[33],"(EHR)":[34],"data":[35,64,126],"from":[36],"UF":[38],"Health":[39],"Integrated":[40],"Data":[41],"Repository":[42],"(IDR)":[43],"to":[44,66],"evaluate":[45],"machine":[46],"learning":[47],"(ML)":[48],"models":[49],"nephrectomy":[51,129],"risk":[52,130],"prediction":[53,131],"in":[54,127],"patients":[55],"with":[56,100],"malignant":[57],"tumors.":[59],"Demographic,":[60],"clinical,":[61],"laboratory":[63],"prior":[65],"diagnosis":[67],"were":[68],"used":[69],"model":[71],"training":[72],"validation.":[74],"Extreme":[75],"gradient":[76],"boosting":[77],"(XGBoost)":[78],"outperformed":[79],"other":[80],"models,":[81],"achieving":[82],"an":[83,89],"F1":[84],"score":[85],"0.638":[87],"AUC":[90],"0.807.":[92],"SHapley":[93],"Additive":[94],"exPlanations":[95],"(SHAP)":[96],"highlighted":[97],"key":[98],"predictors,":[99],"top":[101],"factors":[102],"including":[103],"HbA1C,":[104],"serum":[105],"creatinine,":[106],"blood":[107],"urea":[108],"nitrogen":[109],"(BUN),":[110],"BUN-to-creatinine":[111],"ratio,":[112],"glucose":[114],"levels.":[115],"These":[116],"findings":[117],"illustrate":[118],"potential":[120],"ML":[122],"EHR":[125],"supporting":[128],"personalized":[133],"care":[134],"strategies.":[135]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}