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Updated: Jan 16, 2026

Multidisciplinary Approach to Obesity Management: A Case Report
Published on: May 30, 2025
Protocol for designing and developing a population-based individualized intervention planning assistant for
Hamid Ghalandari1, Majid Karandish2, Ali Mohammad Hadianfard2
1Student Research Committee, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran; Department of Community Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
None:
Overweight and obesity are multifactorial health problems requiring innovative analytical approaches. We present a protocol to develop a population-based individualized intervention planning assistant (PIIPA) using supervised machine learning, Shapley additive explanations (SHAP), and a long short-term memory (LSTM) model. We describe steps for constructing interpretable machine learning (ML) models, identifying key predictors, and simulating BMI trajectories under interventions. We then detail procedures for implementing a user interface for individualized planning. This protocol is adaptable to other complex public health issues.
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