Survey on Advanced Deep Learning Technologies for Multi-Disease Prediction

The purpose of this survey paper is to present an outline of the most recent deep learning technologies for predicting diseases, with the focus on most extensively researched ones like, cancer, neurological disorders, cardiovascular, respiratory, infectious, and rare diseases. The paper addresses the types of data employed for prediction, the difficulties in implementing deep learning, and the most recent progress in deep learning for each disease. The survey emphasizes the immense potential of deep learning methods in predicting diseases but also stresses the importance of further research to tackle the obstacles associated with utilizing these models in clinical environments.