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Updated: Jun 23, 2025

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机器学习技术的研究,以评估勒托西症患者的结果

Andreia Ferreira da Silva1, Karla Figueiredo2, Igor W S Falcão3

  • 1Laboratory of Zoonoses and Public Health - Federal University of Para, Av. dos Universitários - Jaderlândia, Belém, PA, 68746-360, Brazil.

Scientific reports
|June 17, 2024
PubMed
概括

这项研究使用人工智能来预测白病的结果. 决策树模型准确地预测了患者的康复或死亡,有助于早期诊断和治疗,以防止死亡.

关键词:
数据挖掘是一种数据挖掘.决策树 决策树是一个决策树.这是一个不合时宜的产品.莱普托斯皮罗斯症是什么?机器学习 机器学习模拟器的模拟器是什么

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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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