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Updated: Mar 13, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

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Published on: February 25, 2013

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通过流行病学和移动性特征增强COVID-19查模型:机器学习模型研究

Hyunwoo Choo1, Dohyung Lee2, Soo-Yong Shin1

  • 1Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea.

JMIR AI
|March 11, 2026
PubMed
概括

用于COVID-19查的机器学习模型通过将移动性和流行病数据与症状信息相结合而显著改进. 这种增强的方法可以提高传染病的诊断准确度.

关键词:
在 COVID-19 疫情中,深度学习是一种深度学习.流行病学流行病学机器学习是机器学习.群众选 群众选 群众选 群众选移动性数据的移动性数据

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