Ying-Yao Chen

Predicting disease progression and mortality in prostate cancer using real-world data-driven time-inhomogeneous Markov models

Summary Prostate cancer progression varies across patients. Understanding disease trajectories and mortality risk is important for improved healthcare. This study developed a time-inhomogeneous Markov model using territory-wide electronic medical records from Hong Kong to estimate 10-year disease progression. The model...