Machine Learning Model for Predicting Postoperative Survival of Patients with Colorectal Cancer

Volume: 54, Issue: 2, Pages: 517 - 524
Published: Apr 15, 2022
Abstract
Machine learning (ML) is a strong candidate for making accurate predictions, as we can use large amount of data with powerful computational algorithms. We developed a ML based model to predict survival of patients with colorectal cancer (CRC) using data from two independent datasets.A total of 364,316 and 1,572 CRC patients were included from the Surveillance, Epidemiology, and End Results (SEER) and a Korean dataset, respectively. As SEER...
Paper Details
Title
Machine Learning Model for Predicting Postoperative Survival of Patients with Colorectal Cancer
Published Date
Apr 15, 2022
Volume
54
Issue
2
Pages
517 - 524
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.