Description of a weakly supervised machine learning approach for extracting treatment-related side effects (Urinary Incontinence) following prostate cancer therapy from multiple types of free-text clinical narratives, including progress notes, discharge summaries, history and physical notes. Prostatectomy surgery and radiation therapy are our treatments of interest for prostate cancer.
List on the Collaboration Phenotypes List
Type of Phenotype:
Wednesday, January 15, 2020
Imon Banerjee, Kevin Li, Martin Seneviratne, Michelle Ferrari, Tina Seto, James D Brooks, Daniel L Rubin, Tina Hernandez-Boussard . Stanford University. Urinary Incontinence. PheKB; 2020 Available from: https://phekb.org/phenotype/1404