injewelme’s research, published in Computers in Biology and Medicine, presents an explainable AI approach using IoT data for personalized childhood weight management.

The healthcare data solutions company injewelme has announced the publication of its research in the internationally recognized journal Computers in Biology and Medicine, available via the ScienceDirect platform.

The paper, titled “Application of Explainable Artificial Intelligence for personalized childhood weight management using IoT data”, introduces an AI-driven approach that collects lifestyle and health information from children through Internet of Things (IoT) devices. The system analyzes individual obesity risk factors and provides clear visual explanations of AI predictions, enabling both parents and healthcare professionals to better understand and utilize the results.

This achievement represents a significant milestone in injewelme’s vision of data-driven personalized healthcare. The proposed approach holds strong potential for integration into preventive programs for childhood obesity, as well as in comprehensive smart wearable healthcare solutions.

Source: https://www.sciencedirect.com/science/article/pii/S0010482525012065?via%3Dihub