Interpretable recurrent survival network (IRSN) for predicting diabetes risk from longitudinal nutritional data
Nathan Belchior Costa
Predicting the onset of chronic diseases from longitudinal data presents a significant methodological challenge due to high-dimensional features, missing values, and irregularly timed observations. This thesis addresses the gap between the predictive accuracy of deep learning models and clinical interpretability by dev...
- University of Massachusetts Dartmouth
- DOI: 10.62791/20606