Risk prediction of recurrent venous thrombosis; where are we now and what can we add?
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DOI: 10.1111/jth.14535
Abstract: Several models are available to predict recurrent venous thrombosis (VT) in patients with unprovoked first events. read more here.
Keywords: venous thrombosis; recurrent venous; prediction recurrent; risk prediction ... See more keywords
Prediction of Recurrent Ischemic Stroke Using Registry Data and Machine Learning Methods: The Erlangen Stroke Registry
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DOI: 10.1161/strokeaha.121.036557
Abstract: Background: There have been multiple efforts toward individual prediction of recurrent strokes based on structured clinical and imaging data using machine learning algorithms. Some of these efforts resulted in relatively accurate prediction models. However, acquiring… read more here.
Keywords: stroke; machine learning; registry; prediction recurrent ... See more keywords
Prediction of Recurrent Mutations in SARS-CoV-2 Using Artificial Neural Networks
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DOI: 10.3390/ijms232314683
Abstract: Predicting SARS-CoV-2 mutations is difficult, but predicting recurrent mutations driven by the host, such as those caused by host deaminases, is feasible. We used machine learning to predict which positions from the SARS-CoV-2 genome will… read more here.
Keywords: recurrent mutations; prediction recurrent; sars cov; mutations sars ... See more keywords