Publications by authors named "Muriel Wartelle"
JCO Clin Cancer Inform
June 2021
Article Synopsis
- Early discontinuation in early-phase oncology trials impacts over one third of patients and complicates study timelines and costs; the research aims to predict successful completion of screening and dose-limiting toxicity periods using automated report analysis.
- A machine learning model was developed using a large dataset of consultation reports to predict patient outcomes, achieving solid performance metrics (F1 score 0.80, recall 0.81) and demonstrating potential to significantly reduce screening failure rates from 39.8% to 12.8%.
- The study highlights the importance of using machine learning with semantic analysis as a promising approach for improving patient selection in clinical trials, focusing on key terms related to disease characteristics and laboratory findings
