Clinical Trial: Research on AIS Recurrence Risk Prediction Model Using XGBoost Combined With Convolutional Neural Network Algorithm
Study Status: COMPLETED
Recruit Status: COMPLETED
Condition: Ischemic Stroke
Study Type: OBSERVATIONAL
Official Title: Research on AIS Recurrence Risk Prediction Model Using XGBoost Combined With Convolutional Neural Network Algorithm
Brief Summary:
The purpose of this observational study is to construct a recurrence risk prediction model for ischemic stroke within 1, 3, 6, and 12 months using XGBoost combined with Convolutional Neural Network (CNN) algorithm.Method: Follow up was conducted on the study subjects at 1, 3, 6, and 12 months after discharge.Follow up primary outcome: Whether the study subjects experienced recurrent stroke events.Secondary outcome: Improved Rinkin score.Collect information on research subjects:It includes demographic data,…
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