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Updated: Jun 14, 2025

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一个机器学习预测模型,使用电子健康记录数据识别枪支伤害风险

Hui Zhou1,2, Claudia Nau1,2, Fagen Xie1

  • 1Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA 91101, United States.

Journal of the American Medical Informatics Association : JAMIA
|September 4, 2024
PubMed
概括

一个新的预测模型使用电子健康记录识别高风险的枪支伤害患者. 这种方法提高了针对医疗保健机构的有针对性的预防工作的查效率.

关键词:
支持决策的模型.枪支伤害 枪支伤害机器学习就是机器学习.预测模型 预测模型

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Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
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