This paper is in the following e-collection/theme issue:

Theme Issue 2020: Medical Artificial Intelligence Applications in China (10) Clinical Information and Decision Making (1339) Decision Support for Health Professionals (1145) Clinical or Consumer-Focused Software for Diabetes (18) Diabetes Technology Around the World (18)

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 Liu1 Author Orcid Image
Article Authors Cited by (8) Tweetations (1) Metrics

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 2023;55(1):93 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
  5. Qian D, Gao H, Chen Y. Efficacy Analysis of Team-Based Nursing Compliance in Young and Middle-Aged Diabetes Mellitus Patients Based on Random Forest Algorithm and Logistic Regression. Computational and Mathematical Methods in Medicine 2022;2022:1 View
  6. Bazargur B, Bataa O, Budjav U. Reliability Study for Communication System: A Case Study of an Underground Mine. Applied Sciences 2023;13(2):821 View
  7. Ramirez-Bautista J, Chaparro-Cárdenas S, Esmer C, Huerta-Ruelas J. Artificial intelligence approaches to physiological parameter analysis in the monitoring and treatment of non-communicable diseases: A review. Biomedical Signal Processing and Control 2024;87:105463 View
  8. Santillán H, Mantilla A, Cárdenas D, Wong P. Design of a low-cost portable electrocardiograph for telemedicine application. Memoria Investigaciones en Ingeniería 2024;(26):244 View