Deep Neural Networks for Survival Analysis Using Pseudo Values

• Published in: IEEE journal of biomedical and health informatics Vol. 24; no. 11; pp. 3308 - 3314
• Main Authors: Zhao, Lili, Feng, Dai
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.11.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation models; Algorithms; Analytical models; Artificial neural networks; Biological system modeling; Cost function; Data models; Deep learning; Hazards; Humans; Informatics; IPCW; Machine learning; Medical research; neural network; Neural networks; Neural Networks, Computer; pseudo probability; Regression analysis; risk prediction; Software; Source code; Survival; Survival Analysis; survival outcome

There has been increasing interest in modelling survival data using deep learning methods in medical research. Current approaches have focused on designing special cost functions to handle censored survival data. We propose a very different method with two simple steps. In the first step, we transfo...