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Updated: Jan 11, 2026

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使用隐性类分析和机器学习对复杂多病症进行分类,以产生对心理和心脏代谢状况集群的见解

Moumita Mukherjee1, Samhita Mukherjee2, Hruthik Reddy Thokala3

  • 1Wissenschaftliche Mitarbeiterin, Institute of International Health, Charité - Universitätsmedizin, Berlin, Germany.

PloS one
|November 17, 2025
PubMed
概括

机器学习准确地预测了复杂的多病症,揭示了由心理健康和心脏代谢条件主导的五个集群. 关键因素包括年龄,健康状况和生活方式,为公共卫生干预提供信息.

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