HIGHLIGHTS
- who: Jin-On Jung from the at Heidelberg University Hospital, Department of General SurgeryMachine learning methods such as multi-task logistic have published the Article: Machine learning for optimized individual survival prediction in resectable upper gastrointestinal cancer, in the Journal: (JOURNAL)
- what: The aim of this study was to apply machine learning algorithms to optimize survival prediction after oncological resection of gastroesophageal cancers.
- how: Last but not least several random survival forest models were analyzed including the classic random survival forest (RSF) by Ishwaran et_al .
SUMMARY
Retrospective machine_learning studies . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.