Factor enhanced DeepSurv: A deep learning approach for predicting survival probabilities in cirrhosis data.
Journal:
Computers in biology and medicine
PMID:
40037171
Abstract
BACKGROUND: Over the years, various models, including both traditional and machine learning models, have been employed to predict survival probabilities for diverse survival datasets. The objective is to obtain models that provide more accurate estimates of survival probabilities. Certain datasets exhibit complex nonlinear effects and interactions between variables that may necessitate the application of deep learning algorithms to comprehend the underlying data generation process.