Diagnosis Of Diabetes May Be Achieved Via The Use Of Deep Learning And Convolutional Long Short-Term Memory Networks.

The proposed ConvLSTM-based model demonstrates superior performance in diabetes detection compared to traditional machine learning methods and other deep learning architectures, and explores the interpretability of the model predictions, providing insights into the key features and temporal patterns influencing diabetes detection.