Algorithm predicts risk of stroke

Two students at Israel’s Technion Institute have written a machine learning algorithm that predicts the development of atrial fibrillation (AFib) – a condition that causes strokes. Using one million ECG recordings from more than 400,000 patients, their algorithm was 95% accurate.

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