{"id":"https://openalex.org/W4412030584","doi":"https://doi.org/10.1109/cbms65348.2025.00064","title":"AI-Driven Survival Prediction in Pancreatic Cancer","display_name":"AI-Driven Survival Prediction in Pancreatic Cancer","publication_year":2025,"publication_date":"2025-06-18","ids":{"openalex":"https://openalex.org/W4412030584","doi":"https://doi.org/10.1109/cbms65348.2025.00064"},"language":"en","primary_location":{"id":"doi:10.1109/cbms65348.2025.00064","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbms65348.2025.00064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS)","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/A5061228748","display_name":"Sergio Rubio-Mart\u00ed\u00adn","orcid":"https://orcid.org/0000-0003-0475-9949"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sergio Rubio-Mart\u00edn","raw_affiliation_strings":["Universidad de Le&#x00F3;n, Campus of Vegazana s/n,Dept. of Electric, Systems and Automatics Engineering,Le&#x00F3;n,Spain"],"affiliations":[{"raw_affiliation_string":"Universidad de Le&#x00F3;n, Campus of Vegazana s/n,Dept. of Electric, Systems and Automatics Engineering,Le&#x00F3;n,Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088478509","display_name":"Mar\u00eda Teresa Garc\u00ed\u00ada-Ord\u00e1s","orcid":"https://orcid.org/0000-0002-3796-3949"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mar\u00eda Teresa Garc\u00eda-Ord\u00e1s","raw_affiliation_strings":["Universidad de Le&#x00F3;n, Campus of Vegazana s/n,Dept. of Electric, Systems and Automatics Engineering,Le&#x00F3;n,Spain"],"affiliations":[{"raw_affiliation_string":"Universidad de Le&#x00F3;n, Campus of Vegazana s/n,Dept. of Electric, Systems and Automatics Engineering,Le&#x00F3;n,Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118821985","display_name":"David Corral-Fontecha","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164720","display_name":"Complejo Asistencial Universitario de Palencia","ror":"https://ror.org/05mnq7966","country_code":"ES","type":"healthcare","lineage":["https://openalex.org/I4210164720"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"David Corral-Fontecha","raw_affiliation_strings":["Servicio de Radiologia, Complejo Asistencial Universitario de Le&#x00F3;n (CAULE),Le&#x00F3;n,Spain"],"affiliations":[{"raw_affiliation_string":"Servicio de Radiologia, Complejo Asistencial Universitario de Le&#x00F3;n (CAULE),Le&#x00F3;n,Spain","institution_ids":["https://openalex.org/I4210164720"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075752157","display_name":"Laura L\u00f3pez-Gonz\u00e1lez","orcid":"https://orcid.org/0009-0005-1023-7639"},"institutions":[{"id":"https://openalex.org/I4210164720","display_name":"Complejo Asistencial Universitario de Palencia","ror":"https://ror.org/05mnq7966","country_code":"ES","type":"healthcare","lineage":["https://openalex.org/I4210164720"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Laura L\u00f3pez-Gonz\u00e1lez","raw_affiliation_strings":["Servicio de Radiologia, Complejo Asistencial Universitario de Le&#x00F3;n (CAULE),Le&#x00F3;n,Spain"],"affiliations":[{"raw_affiliation_string":"Servicio de Radiologia, Complejo Asistencial Universitario de Le&#x00F3;n (CAULE),Le&#x00F3;n,Spain","institution_ids":["https://openalex.org/I4210164720"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118821986","display_name":"Gonzalo Alonso-Ol\u00e1iz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gonzalo Alonso-Ol\u00e1iz","raw_affiliation_strings":["Universidad de Le&#x00F3;n, Campus of Vegazana s/n,Dept. of Electric, Systems and Automatics Engineering,Le&#x00F3;n,Spain"],"affiliations":[{"raw_affiliation_string":"Universidad de Le&#x00F3;n, Campus of Vegazana s/n,Dept. of Electric, Systems and Automatics Engineering,Le&#x00F3;n,Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Arturo Crespo-\u00c1lvaro","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arturo Crespo-\u00c1lvaro","raw_affiliation_strings":["Universidad de Le&#x00F3;n, Campus of Vegazana s/n,Dept. of Electric, Systems and Automatics Engineering,Le&#x00F3;n,Spain"],"affiliations":[{"raw_affiliation_string":"Universidad de Le&#x00F3;n, Campus of Vegazana s/n,Dept. of Electric, Systems and Automatics Engineering,Le&#x00F3;n,Spain","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011839068","display_name":"Jos\u00e9 Alberto Ben\u00edtez\u2010Andrades","orcid":"https://orcid.org/0000-0002-4450-349X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jos\u00e9 Alberto Ben\u00edtez-Andrades","raw_affiliation_strings":["Universidad de Le&#x00F3;n, Campus of Vegazana s/n,Dept. of Electric, Systems and Automatics Engineering,Le&#x00F3;n,Spain"],"affiliations":[{"raw_affiliation_string":"Universidad de Le&#x00F3;n, Campus of Vegazana s/n,Dept. of Electric, Systems and Automatics Engineering,Le&#x00F3;n,Spain","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5061228748"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4405,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.89037121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"284","last_page":"289"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9660000205039978,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9660000205039978,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10231","display_name":"Pancreatic and Hepatic Oncology Research","score":0.9596999883651733,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10862","display_name":"AI in cancer detection","score":0.9330000281333923,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pancreatic-cancer","display_name":"Pancreatic cancer","score":0.7156934142112732},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5235894918441772},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.3831065595149994},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2576890289783478},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.2526724338531494}],"concepts":[{"id":"https://openalex.org/C2780210213","wikidata":"https://www.wikidata.org/wiki/Q212961","display_name":"Pancreatic cancer","level":3,"score":0.7156934142112732},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5235894918441772},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3831065595149994},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2576890289783478},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.2526724338531494}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cbms65348.2025.00064","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbms65348.2025.00064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2149706766","https://openalex.org/W2295598076","https://openalex.org/W2914148690","https://openalex.org/W3121116615","https://openalex.org/W3200158435","https://openalex.org/W4281628031","https://openalex.org/W4283732191","https://openalex.org/W4283787469","https://openalex.org/W4292685074","https://openalex.org/W4293090492","https://openalex.org/W4307229392","https://openalex.org/W4317891411","https://openalex.org/W4386945091","https://openalex.org/W4391384962","https://openalex.org/W4393336895","https://openalex.org/W4394695940","https://openalex.org/W4394739014","https://openalex.org/W4395115894","https://openalex.org/W4400762160","https://openalex.org/W4401690936","https://openalex.org/W4403617042"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Pancreatic":[0],"cancer":[1],"remains":[2],"one":[3],"of":[4,24,62,104],"the":[5,22,48,60,68,85,165],"most":[6],"aggressive":[7],"malignancies,":[8],"with":[9],"limited":[10],"survival":[11,38,66,90,105],"rates":[12],"and":[13,33,42,80,106,116,123,143],"significant":[14],"variability":[15],"in":[16,35,89],"patient":[17,37],"outcomes.":[18],"This":[19],"study":[20],"evaluates":[21],"performance":[23],"three":[25],"machine":[26],"learning":[27],"models":[28],"(Random":[29],"Forest,":[30],"Decision":[31],"Tree,":[32],"XGBoost)":[34],"predicting":[36],"at":[39,135,140,146],"3,":[40],"12,":[41],"18":[43,147],"months,":[44,137,142],"using":[45],"data":[46,95],"from":[47],"Complejo":[49],"Asistencial":[50],"Universitario":[51],"de":[52],"Le\u00f3n":[53],"(CAULE)":[54],"Radiology":[55],"Department.":[56],"To":[57,83,154],"systematically":[58],"analyze":[59],"impact":[61],"different":[63],"features":[64],"on":[65,151],"prediction,":[67,91],"dataset":[69],"was":[70,98,114,162],"structured":[71],"into":[72],"seven":[73],"variable":[74],"groups":[75],"(G1G7),":[76],"incorporating":[77],"demographic,":[78],"clinical,":[79],"treatment-related":[81],"information.":[82],"address":[84],"inherent":[86],"class":[87],"imbalance":[88],"an":[92,130],"Autoencoder-based":[93],"synthetic":[94],"generation":[96],"approach":[97],"applied,":[99],"ensuring":[100],"a":[101],"balanced":[102],"distribution":[103],"non-survival":[107],"cases":[108],"across":[109],"all":[110],"timeframes.":[111],"Hyperparameter":[112],"tuning":[113],"performed,":[115],"experimental":[117],"results":[118],"indicate":[119],"that":[120],"Random":[121],"Forest":[122],"XGBoost":[124],"achieved":[125],"comparable":[126],"performance,":[127],"both":[128],"obtaining":[129],"accuracy":[131],"above":[132],"81":[133],"%":[134,139,145],"3":[136],"83":[138],"12":[141],"88":[144],"months":[148],"when":[149],"trained":[150],"Group":[152],"G7.":[153],"enhance":[155],"model":[156],"interpretability,":[157],"SHapley":[158],"Additive":[159],"exPlanations":[160],"(SHAP)":[161],"applied":[163],"to":[164],"best-performing":[166],"model,":[167],"identifying":[168],"key":[169],"factors":[170],"influencing":[171],"survival.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
