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

Development and Evaluation of Research Methods, Instruments and Tools (482) Consumer & Patient Education and Shared-Decision Making (679) Eating Disorders (78) Obesity and Nutrition as Public Health Problem (304) Innovations and Technology for Healthy Eating Education (414) Clinical Information and Decision Making (1407) Human Factors and Usability Case Studies (788) Prevention and Health Promotion (987)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46434, first published .
Personalized Flexible Meal Planning for Individuals With Diet-Related Health Concerns: System Design and Feasibility Validation Study

Personalized Flexible Meal Planning for Individuals With Diet-Related Health Concerns: System Design and Feasibility Validation Study

Personalized Flexible Meal Planning for Individuals With Diet-Related Health Concerns: System Design and Feasibility Validation Study

Authors of this article:

Maryam Amiri1 Author Orcid Image ;   Juan Li1 Author Orcid Image ;   Wordh Hasan1 Author Orcid Image
Article Authors Cited by (7) Tweetations (2) Metrics

Journals

  1. Mahmoudi Ghehsareh M, Asri N, Maleki S, Rezaei-Tavirani M, Jahani-Sherafat S, Rostami-Nejad M. Application of Artificial Intelligence in Celiac Disease: from diagnosis to patient follow-up. Iranian Journal of Blood and Cancer 2023;15(3):125 View
  2. Amiri M, Sarani Rad F, Li J. Delighting Palates with AI: Reinforcement Learning’s Triumph in Crafting Personalized Meal Plans with High User Acceptance. Nutrients 2024;16(3):346 View
  3. Sarani Rad F, Hendawi R, Yang X, Li J. Personalized Diabetes Management with Digital Twins: A Patient-Centric Knowledge Graph Approach. Journal of Personalized Medicine 2024;14(4):359 View
  4. Briazu R, Bell L, Dodd G, Blackburn S, Massri C, Chang B, Fischaber S, Kehlbacher A, Williams C, Methven L, McCloy R. The effectiveness of personalised food choice advice tailored to an individual's socio-demographic, cognitive characteristics, and sensory preferences. Appetite 2024;201:107600 View
  5. Sarani Rad F, Amiri M, Li J. Optimizing Nutritional Decisions: A Particle Swarm Optimization–Simulated Annealing-Enhanced Analytic Hierarchy Process Approach for Personalized Meal Planning. Nutrients 2024;16(18):3117 View
  6. Kalita D, Sharma H, Panda J, Mirza K. Platform for precise, personalised glucose forecasting through continuous glucose and physical activity monitoring and deep learning. Medical Engineering & Physics 2024;132:104241 View
  7. Khairullina E, Baspakova A, Zhumagaliyeva S. Empirical Nutrition Models and Their Impact on Public Health. West Kazakhstan Medical Journal 2024 View