Revealing chronic disease progression patterns using Gaussian process for stage inference.
The early stages of chronic disease typically progress slowly, so symptoms are usually only noticed until the disease is advanced. Slow progression and heterogeneous manifestations make it challenging to model the transition from normal to disease status. As patient conditions are only observed at discrete timestamps with varying intervals, an incomplete understanding of disease progression and heterogeneity affects clinical practice and drug development.
Author(s): Wang, Yanfei, Zhao, Weiling, Ross, Angela, You, Lei, Wang, Hongyu, Zhou, Xiaobo
DOI: 10.1093/jamia/ocad230