Prediction of intracerebral hemorrhage following thrombolytic therapy for acute ischemic stroke using multiple artificial neural networks

Objectives: Artificial neural networks (ANNs) have been increasingly used in diagnosis and the prediction of outcome, mortality, and risk factors in ischemic stroke. Each model may have different accuracy, sensitivity, and specificity in processing the same clinical information. Thus, using only one...

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Main Authors: Permphan Dharmasaroja, Pornpatr A. Dharmasaroja
其他作者: Mahidol University
格式: Article
出版: 2018
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在線閱讀:https://repository.li.mahidol.ac.th/handle/123456789/14933
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