The Value of Applying Machine Learning in Predicting the Time of Symptom Onset in Stroke Patients: Systematic Review and Meta-Analysis (Preprint)
Jing Feng,
Qizhi Zhang,
Feng Wu
et al.
Abstract:BACKGROUND
Machine learning is a potentially effective method for identifying and predicting the time of the onset of stroke. However, the value of applying machine learning in this field remains controversial and debatable.
OBJECTIVE
We aimed to assess the value of applying machine learning in predicting the time of stroke onset.
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