首页|University of Science and Technology Reports Findings in Ischemia (Prediction of futile recanalisation after endovascular treatment in acute ischaemic stroke: development and validation of a hybrid machine learning model)
University of Science and Technology Reports Findings in Ischemia (Prediction of futile recanalisation after endovascular treatment in acute ischaemic stroke: development and validation of a hybrid machine learning model)
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Bmj Publishing Group
2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Vascular Diseases and Conditions - Ischemia is the subject of a report. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx cor- respondents, research stated, “Identification of futile recanalisation following endovascular therapy (EVT) in patients with acute ischaemic stroke is both crucial and challenging. Here, we present a novel risk stratification system based on hybrid machine learning method for predicting futile recanalisation.” Financial supporters for this research include Beijing Municipal Administration of Hospitals’ Youth Programme, National Natural Science Foundation of China.
BeijingPeople’s Republic of ChinaAsiaAngiologyCardiologyCyborgsEmerging TechnologiesHealth and MedicineIschemiaMachine LearningVascular Diseases and Conditions
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Bmj Publishing Group
