Hybrid CNN-LSTM for Predicting Diabetes: A Review.

Journal: Current diabetes reviews
Published Date:

Abstract

BACKGROUND: Diabetes is a common and deadly chronic disease caused by high blood glucose levels that can cause heart problems, neurological damage, and other illnesses. Through the early detection of diabetes, patients can live healthier lives. Many machine learning and deep learning techniques have been applied for noninvasive diabetes prediction. The results of some studies have shown that the CNN-LSTM method, a combination of CNN and LSTM, has good performance for predicting diabetes compared to other deep learning methods.

Authors

  • Soroush Soltanizadeh
    Department of Biomedical Engineering, Mazandaran University of Science and Technology, Babol, Iran.
  • Seyedeh Somayeh Naghibi
    Biomedical Engineering Department, Amirkabir University of Technology, Tehran, Iran.