Deep Learning Techniques for the Prediction of Diabetes: A Review
Deep Learning Techniques for the Prediction of Diabetes: A Review
Sunit Kumar Mishra,A. Tiwari
TLDR
The comparative analysis of Naive Bayes, ANN, SVM, KNN, Random Forest, LSTM, CNN, BLSTM and ensemble of CNN andBLSTM to predict diabetes by taking a dataset is provided.
Abstract
Diabetes is a verycommon disease in the world. If diabetes is detected in early stage, it can be cured easily. Several machine learning techniques are available to predict diabetes in earlier stage using data set. This paper presents review of several machine learning based methods to predict diabetes.This paper provides the comparative analysis of Naive Bayes, ANN, SVM, KNN, Random Forest, LSTM, CNN, BLSTM, ensemble of CNN and LSTM and ensemble of CNN and BLSTM to predict diabetes by taking a dataset.