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Predicting Hydration Status Using Machine Learning Models From Physiological and Sweat Biomarkers During Endurance Exercise: A Single Case Study.

Updated Oct 16, 2026

Human researchIEEE journal of biomedical and health informatics2022Read the source on PubMed

From the closing abstract passage

“This exploratory work paves the way for the use of these machine learning models to develop personalized health monitoring together with emerging, noninvasive wearable…”

A short excerpt, not the complete finding. Read the linked abstract for the comparison, measurements and context.

Publication details
Record
PubMed 35749337
Publication types
Research Support, Non-U.S. Gov't
Indexed subjects
Sweat · Sodium · Sweating · Biomarkers · Machine Learning
Source record checked
2026-10-16

Publication type and subject indexing describe the record; they are not a quality grade or proof of a benefit. An abstract does not replace a review of the full methods and results.

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