A probabilistic disease progression modeling approach and its application to integrated Huntington's disease observational data.
Chronic diseases often have long durations with slow, nonlinear progression and complex, and multifaceted manifestation. Modeling the progression of chronic diseases based on observational studies is challenging. We developed a framework to address these challenges by building probabilistic disease progression models to enable better understanding of chronic diseases and provide insights that could lead to better disease management.
Author(s): Sun, Zhaonan, Ghosh, Soumya, Li, Ying, Cheng, Yu, Mohan, Amrita, Sampaio, Cristina, Hu, Jianying
DOI: 10.1093/jamiaopen/ooy060