Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18912, first published .
A Novel Approach for Continuous Health Status Monitoring and Automatic Detection of Infection Incidences in People With Type 1 Diabetes Using Machine Learning Algorithms (Part 2): A Personalized Digital Infectious Disease Detection Mechanism

A Novel Approach for Continuous Health Status Monitoring and Automatic Detection of Infection Incidences in People With Type 1 Diabetes Using Machine Learning Algorithms (Part 2): A Personalized Digital Infectious Disease Detection Mechanism

A Novel Approach for Continuous Health Status Monitoring and Automatic Detection of Infection Incidences in People With Type 1 Diabetes Using Machine Learning Algorithms (Part 2): A Personalized Digital Infectious Disease Detection Mechanism

Journals

  1. Gupta D, Choudhury A, Gupta U, Singh P, Prasad M. Computational approach to clinical diagnosis of diabetes disease: a comparative study. Multimedia Tools and Applications 2021;80(20):30091 View
  2. Afsaneh E, Sharifdini A, Ghazzaghi H, Ghobadi M. Recent applications of machine learning and deep learning models in the prediction, diagnosis, and management of diabetes: a comprehensive review. Diabetology & Metabolic Syndrome 2022;14(1) View

Books/Policy Documents

  1. Nagarajan S, Sasikumar K. Computational Intelligence in Sustainable Computing and Optimization. View

Conference Proceedings

  1. Singh J, Shitole M, Dewangan O, Mishra A. 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI). Type-I and Type-II Diabetes Disease Prediction by Handling Trade-Off Between Hyperplane Margin and Classification Error In Support Vector Machine View