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Heatstroke predictions by machine learning, weather information, and an all-population registry for 12-hour heatstroke alerts

Medicine and Health

Heatstroke predictions by machine learning, weather information, and an all-population registry for 12-hour heatstroke alerts

S. Ogata, M. Takegami, et al.

This groundbreaking study, conducted by Soshiro Ogata and colleagues, unveils innovative prediction models for heatstroke cases across 16 Japanese cities. Through advanced machine learning techniques, the research promises significantly enhanced prediction accuracy, aiding public health measures to combat heat-related health issues effectively.

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