Rate My Professor Kanji Yamada

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 ML model from J-PROOF HF registry reveals physical function trumps traditional factors in predicting 1-year mortality for elderly HF patients in Japan. Discover implications for research and care.