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.
Phenotype ID:
1404
Status:
List on the Collaboration Phenotypes List
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Files:
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Date Created:
Wednesday, January 15, 2020
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Data Model:
Other
Suggested Citation
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