Diabetes diagnosis using a hybrid CNN LSTM MLP ensemble.

ABSTRACT: Diabetes is a chronic condition brought on by either an inability to use insulin effectively or a lack of insulin produced by the body. If left untreated, this illness can be lethal to a person. Diabetes can be treated and a good life can be led with early diagnosis. The conventional method of identifying diabetes utilizing clinical and physical data is laborious, hence an automated method is required. An ensemble deep learning model is presented in this research for the diagnosis of diabetes which includes three steps. Preprocessing is the first step, which includes cleaning, normalizing, and organizing the data so that it can be fed into deep learning models. The second step involves employing two neural networks to retrieve features. Convolutional neural network (CNN) is the first neura

SUBMITTER: Fan Y 

PROVIDER: S-EPMC12287293 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature