This project will compare the effectiveness of pharmacological therapy for benign prostatic hyperplasia/lower urinary tract symptoms in preventing long-term disease progression and will develop and validate predictive models using demographic, clinical, and laboratory data available at the time of benign prostatic hyperplasia/lower urinary tract symptoms diagnosis to identify patients at increased risk of long-term disease progression.
Long-term effectiveness of BPH/LUTS pharmacological therapies and using machine learning based predictive analytics to tailor treatment
Investigator: Van Den Eeden, Stephen
Funder: National Institute of Diabetes and Digestive and Kidney Diseases