Dynamic evaluation and intervention system for nutrition and health of African pregnant and lying-in women
The dynamic assessment and intervention system for maternal nutrition and health in Africa, generated through multi-source data fusion and offline intervention packages, solves the problems of data fragmentation and high costs. It enables dynamic nutritional assessment and low-cost nutritional intervention, adapts to the complex environment in Africa, and improves the accuracy of assessment and the timeliness of response.
Patent Information
- Application Number
- CN202610159536.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-02-04
- Publication Date
- 2026-06-02
AI Technical Summary
Nutritional health assessments for pregnant and postpartum women in Africa suffer from problems such as fragmented data, delayed assessments, high costs, and incompatibility with local environments. Existing technologies cannot achieve dynamic responses and low-cost nutritional interventions.
A dynamic assessment and intervention system for maternal nutrition and health in Africa was designed. Through multi-source data fusion, weight correction, and offline intervention package generation, the system enables dynamic assessment and low-cost intervention of maternal nutrition and health. The system includes a data acquisition module, a data preprocessing and weight correction module, a nutritional risk assessment module, and an offline intervention package generation module. It integrates clinical physiological data, traditional Chinese medicine physical signs data, local dietary data, and environmental risk data to generate nutritional intervention strategies that can be executed offline.
It enables unified evaluation of multi-source data, improves the accuracy and timeliness of evaluation, reduces costs, adapts to the complex environment in Africa, enhances the robustness of the system, and supports nutrition guidance in environments with weak or no networks.