Original paper

Validation of a Machine Learning Algorithm to Predict 180-Day Mortality for Outpatients With Cancer

Volume: 6, Issue: 11, Pages: 1723 - 1723
Published: Nov 1, 2020
Abstract
Machine learning (ML) algorithms can identify patients with cancer at risk of short-term mortality to inform treatment and advance care planning. However, no ML mortality risk prediction algorithm has been prospectively validated in oncology or compared with routinely used prognostic indices.To validate an electronic health record-embedded ML algorithm that generated real-time predictions of 180-day mortality risk in a general oncology...
Paper Details
Title
Validation of a Machine Learning Algorithm to Predict 180-Day Mortality for Outpatients With Cancer
Published Date
Nov 1, 2020
Volume
6
Issue
11
Pages
1723 - 1723
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.