{"title":"Machine learning in cancer prognostication: Limitations and opportunities.","authors":"Giorgos C Karakousis","doi":"10.1016/j.suronc.2024.102164","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":51185,"journal":{"name":"Surgical Oncology-Oxford","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Surgical Oncology-Oxford","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.suronc.2024.102164","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
期刊介绍：
Surgical Oncology is a peer reviewed journal publishing review articles that contribute to the advancement of knowledge in surgical oncology and related fields of interest. Articles represent a spectrum of current technology in oncology research as well as those concerning clinical trials, surgical technique, methods of investigation and patient evaluation. Surgical Oncology publishes comprehensive Reviews that examine individual topics in considerable detail, in addition to editorials and commentaries which focus on selected papers. The journal also publishes special issues which explore topics of interest to surgical oncologists in great detail - outlining recent advancements and providing readers with the most up to date information.
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