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

RCTs - Protocols/Proposals (eHealth) (545) Diabetes Education and Elearning for Patients (116) Exercise and Diet Tracking for Diabetes Patients (85) Diabetes Prevention (86) Diabetes Self-Management (492) User-centred Design Case Studies (599) Diabetes (192)

Published on in Vol 11, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13635, first published .
Designing and Evaluating a Personalized, Human-Centered Dietary Decision Support System for Use Among People With Diabetes in an Indian Setting: Protocol for a Quasi-Experimental Study

Designing and Evaluating a Personalized, Human-Centered Dietary Decision Support System for Use Among People With Diabetes in an Indian Setting: Protocol for a Quasi-Experimental Study

Designing and Evaluating a Personalized, Human-Centered Dietary Decision Support System for Use Among People With Diabetes in an Indian Setting: Protocol for a Quasi-Experimental Study

Authors of this article:

Dinesh Kumar1 Author Orcid Image ;   Ashok Bhardwaj2 Author Orcid Image ;   Shruti Sharma3 Author Orcid Image ;   Bhavya Malhotra3 Author Orcid Image ;   Chioma Amadi-Mgbenka4 Author Orcid Image ;   Ashoo Grover5 Author Orcid Image ;   Ashish Joshi4 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Marashi-Hosseini L, Jafarirad S, Hadianfard A. A fuzzy based dietary clinical decision support system for patients with multiple chronic conditions (MCCs). Scientific Reports 2023;13(1) View