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Juntendo University's machine learning study reveals physical function as a top predictor of survival in elderly heart failure patients, outperforming traditional models. Explore implications for rehab and care in Japan's aging society.

Juntendo University's new machine learning model boosts heart failure survival prediction accuracy by integrating physical function metrics like grip strength and gait speed, offering 20% better risk assessment for Japan's aging population.