DMP4P: A database of daily meal plans targeting nutritional requirements for personal at risk of chronic diseases

The increasing prevalence of diet-related chronic diseases worldwide highlights the need for a shift from generalized nutrition advice to personalized nutrition guidance. However, a significant challenge is the absence of large-scale, practical resources that can translate individual nutritional needs into varied and realistic daily meal plans. To address this issue, we present a data descriptor for a comprehensive database containing 215,135 daily meal plans tailored to diverse individual health profiles. This database was constructed using 23,152 adult individuals from the National Health and Nutrition Examination Survey (NHANES). For each individual, we derived personalized daily nutrient targets based on their specific health status, accounting for nine prevalent health conditions, e.g., hypertension, diabetes, overweight, etc. We developed a computational pipeline utilizing a genetic algorithm to identify food combinations that meet these nutritional goals while adhering to dietary patterns. The resulting database provides each individual's meal plans fulfilling their unique macronutrient and micronutrient requirements (targeting 16 key nutrients).NHANES original data is uploaded to NHANES_raw_data folder for replay the data generation process only so it is not mandatory for usage.For data regeneration, and web-based recommendation system, refer to GitHub: https://github.com/tyrone1979/DMP4P