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Yingjing Yu

As seen in: PLOS ONE
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Articles

Assessing electrocardiogram changes after ischemic stroke with artificial intelligence

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By Ziqiang Zeng, Qixuan Wang, Yingjing Yu, Yichu Zhang
| PLOS ONE
Performance of the ML and CNN models Two ML models and one CNN model were established to obtain a standard for indentifying unusual changes in ECGs from the A-IS dataset. The RF and SVM models used a combination of ECG-related variables derived from each participant (HR, P wave, P-R interval, QRS wave, QT interval, QTc interval, and RV5+SV1 value) as well as sex and age. The CNN model took the image of the ECG as direct input and served as an image classifier.
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