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Updated: Jan 10, 2026

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在药物流行病学中,机器学习方法是否比传统方法更好地做出预测? 一个系统的审查,元分析和网络元分析

Ana Paula Bruno Pena-Gralle1, Mireille E Schnitzer2, Sofia-Nada Boureguaa1

  • 1Faculty of Pharmacy, Université de Montréal, Montréal, QC, Canada.

Artificial intelligence in medicine
|November 27, 2025
PubMed
概括

机器学习 (ML) 模型在药理流行病学中比传统的统计 (CS) 方法具有适度的预测性能优势. 像渐变增强机和XGBoost这样的增强ML方法是表现最好的,尽管报告严格性需要改进.

关键词:
它们的AUC AUC.人工智能的人工智能是人工智能.后勤回归的逻辑回归预测模型的预测模型.

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