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SYSTEMS AND METHODS FOR PREDICTING POST-OPERATIVE RIGHT VENTRICULAR FAILURE USING ECHOCARDIOGRAMS
SYSTEMS AND METHODS FOR PREDICTING POST-OPERATIVE RIGHT VENTRICULAR FAILURE USING ECHOCARDIOGRAMS
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机译:使用超声心动图预测术后右心室失效的系统和方法
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摘要
Systems and methods for incorporating machine learning to predict post operative right ventricular failure using echocardiograms are described. In an embodiment, the system obtains echocardiography video data describing a patient's heart, generates several dense trajectory descriptors based on the echocardiography video data, reduces the dense trajectory descriptors to a bag-of-words representation, generates a first prediction metric of RV failure based on the bag-of-words representation, generates a second prediction metric based on the echocardiography video data using a neural network, and generates an output prediction metric by applying a weighted classifier to the first prediction metric and the second prediction metric.
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