Abstract

Day by Day, humans are facing various Diseases and don’t have the proper awareness of those diseases, which makes life fear for mankind. Disease Prediction plays a vital role in saving lives. Precautionary decisions can be made while getting the alarm of the Diseases. Now a days technologies inculcate various methods to predict diseases through algorithms. InML, LR, DT, RF, SVM, KNN, Naive Bayes, Neural Networks, and gradient-boosting algorithms are used for disease prediction. In deep learning, CNNs, RNNs, LSTM Networks, GRUs, Transformer-Based Models, Deep Reinforcement Learning, Auto encoders, Transfer Learning, and Hybrid Models are used. In Artificial intelligence ANN and LSTM Networks are used. In this paper, we can analyze the various types of diseases and the prediction of those diseases. And acomparison of the algorithms in conclusion.