2019年冠状病毒病(COVID-19)
队列
大数据
医学
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
2019-20冠状病毒爆发
健康档案
队列研究
家庭医学
病历
疾病
数据挖掘
医疗保健
病理
传染病(医学专业)
计算机科学
内科学
爆发
经济增长
经济
作者
The Lancet Digital Health
标识
DOI:10.1016/s2589-7500(22)00113-3
摘要
In this issue, Emily Pfaff and colleagues show that machine learning analysis of electronic health records could be crucial in diagnosing patients with long COVID. This is the latest in a plethora of studies to use big data to determine prevalence, symptoms, or risk factors for long COVID. But is big data helping to treat patients with this heterogeneous condition, or should we be redirecting our efforts elsewhere?
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