Multitask Learning of Longitudinal Circulating Biomarkers and Clinical Outcomes: Identification of Optimal Machine-Learning and Deep-Learning Models
M. Yuan, S. Su, H. Ding, Y. Yang, M. Gupta, X. S. Xu
This study evaluates machine learning and deep learning models for predicting clinical outcomes using high-dimensional longitudinal biomarker data from a lung cancer trial, finding that MFPCA-Cox outperforms other methods.
bioRxiv · Aug 19, 2023Pharmacology & Toxicology