Published on in Vol 8, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18682, first published .
Artificial Intelligence–Based Neural Network for the Diagnosis of Diabetes: Model Development

Artificial Intelligence–Based Neural Network for the Diagnosis of Diabetes: Model Development

Artificial Intelligence–Based Neural Network for the Diagnosis of Diabetes: Model Development

Authors of this article:

Yue Liu 1 Author Orcid Image

Journals

  1. Mishra S, Tripathy H, Mallick P, Bhoi A, Barsocchi P. EAGA-MLP—An Enhanced and Adaptive Hybrid Classification Model for Diabetes Diagnosis. Sensors 2020;20(14):4036 View
  2. Chakradar M, Aggarwal A, Cheng X, Rani A, Kumar M, Shankar A. A Non-invasive Approach to Identify Insulin Resistance with Triglycerides and HDL-c Ratio Using Machine learning. Neural Processing Letters 2021 View
  3. Lopez-Leyva J, Guerra-Rosas E, Alvarez-Borrego J. Multi-Class Diagnosis of Skin Lesions Using the Fourier Spectral Information of Images on Additive Color Model by Artificial Neural Network. IEEE Access 2021;9:35207 View
  4. Xiang Y, Shujin L, Hongfang C, Yinping W, Dawei Y, Zhou D, Zhiqing L, Ahmad A. Artificial Intelligence-Based Diagnosis of Diabetes Mellitus: Combining Fundus Photography with Traditional Chinese Medicine Diagnostic Methodology. BioMed Research International 2021;2021:1 View