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Condition: Atrial Fibrillation
Education: Learning
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Total 3 results found since Jan 2013.

Prediction of incident atrial fibrillation in post-stroke patients using machine learning: a French nationwide study
ConclusionsML algorithms predict incident AF post-stroke with a better ability than previously developed clinical scores.Graphic AbstractAF: atrial fibrillation; DNN: deep neural network; IS: ischemic stroke; KNN: K-nearest neighbors; LR: logistic regression; RFC: random forest classifier; XGBoost: extreme gradient boosting
Source: Clinical Research in Cardiology - December 17, 2022 Category: Cardiology Source Type: research

10 Biggest Myths About Sleeping, According To Researchers
(CNN) — Hey, sleepyheads. What you believe about sleep may be nothing but a pipe dream. Many of us have notions about sleep that have little basis in fact and may even be harmful to our health, according to researchers at NYU Langone Health’s School of Medicine, who conducted a study published Tuesday in the journal Sleep Health. “There’s such a link between good sleep and our waking success,” said lead study investigator Rebecca Robbins, a postdoctoral research fellow in the Department of Population Health at NYU Langone Health. “And yet we often find ourselves debunking myths, whether ...
Source: WBZ-TV - Breaking News, Weather and Sports for Boston, Worcester and New Hampshire - April 16, 2019 Category: Consumer Health News Authors: Health – CBS Boston Tags: Health Healthwatch News CNN Sleep Source Type: news