Key result
Machine learning using respiratory function predicts balance and fall risk in aging populations.
Why the study?
Current fall screening approaches rely predominantly on mobility-based tests and largely overlook physiological contributors.
Can interpretable machine learning using respiratory function predict balance and fall risk in ageing populations?
Can interpretable machine learning using respiratory function predict balance and fall risk in ageing populations?
Respiratory function may serve as a physiological contributor to predict balance and fall risk in ageing populations using machine learning.
Answers are grounded in this paper and cite their sources.
May inform fall risk screening via respiratory metrics in older adults; leaves open prospective validation before clinical use.
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Francesco Ferraro (2026) studied this question. Interpretable machine learning models utilizing respiratory function can predict balance and fall risk in ageing populations.
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