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GRENZE International Journal of Engineering and Technology Vol. 12 (2026), Issue 1

A Non-Invasive Approach for Prediction Malnutrition: the power of AI and Health Care Technology

Authors

Namrutha. D, Jaya Lakshmi C H, Pranitha R, Mahesh Babu B

Abstract

Body fat and hydration are two health signs that impact on how our body works, how active we feel, and our prospects of long-term diseases. Severe dehydration may be lifethreatening; even mild dehydration may make us feel tired or affect our mind. Abnormal levels of fat are also linked to problems such as heart and metabolic diseases. The traditional methods of measuring fat and hydration are not exactly comfortable: they are expensive, cumbersome, and extremely time-consuming. In this study, we investigate the new methods of measuring body fat and hydration using IoMT in a painless manner and in real time. To enable the doctors to act fast, for the model to be interpretable and thus easy to comprehend, we investigate new sensors, machine- learning models, and explainable AI methods.