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Updated: Jan 16, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

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基于机器学习的预测与热浪相关的住院治疗:塞内加尔马塔姆的一个案例研究

Mory Toure1,2, Ibrahima Sy3,4,5, Ibrahima Diouf2,6

  • 1Agence Nationale de l'Aviation Civile et de la Météorologie (ANACIM), Dakar BP 8184, Senegal.

International journal of environmental research and public health
|September 27, 2025
PubMed
概括

热浪在塞内加尔的马塔姆地区显著增加了住院人数,显著延迟了3-5天. 加强气候预报和热浪监测对公共卫生至关重要,特别是对弱势群体至关重要.

关键词:
塞内加尔塞内加尔塞内加尔塞内加尔塞内加尔塞内加尔塞内加尔气候与健康的关系早期预警系统 早期预警系统热浪热浪热浪的热浪是什么住院患者入院情况机器学习是机器学习.

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