首页|Liverpool John Moores University Reports Findings in Atrial Fibrillation (Predicting Stroke in Asian Patients with Atrial Fibrillation Using Machine Learning: A report from the KERALA-AF Registry, with external validation in the APHRS-AF ...)
Liverpool John Moores University Reports Findings in Atrial Fibrillation (Predicting Stroke in Asian Patients with Atrial Fibrillation Using Machine Learning: A report from the KERALA-AF Registry, with external validation in the APHRS-AF ...)
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New research on Heart Disorders and Diseases - Atrial Fibrillation is the subject of a report. According to news reporting originating in Liverpool, United Kingdom, by NewsRx journalists, research stated, "Atrial fibrillation (AF) is a significant risk factor for stroke. Based on the higher stroke associated with AF in the South Asian population, we constructed a one-year stroke prediction model using machine learning (ML) methods in KERALA-AF South Asian cohort." The news reporters obtained a quote from the research from Liverpool John Moores University, "External validation was performed in the prospective APHRS-AF registry. We studied 2101 patients and 83 were to patients with stroke in KERALA-AF registry. The random forest showed the best predictive performance in the internal validation with receiver operator characteristic curve (AUC) and G-mean of 0.821 and 0.427, respectively. In the external validation, the light gradient boosting machine showed the best predictive performance with AUC and G-mean of 0.670 and 0.083, respectively."
LiverpoolUnited KingdomEuropeAsiaAtrial FibrillationCardiac ArrhythmiasCerebrovascular Diseases and ConditionsCyborgsEmerging TechnologiesHealth and MedicineHeart DiseaseHeart Disorders and DiseasesMachine LearningRisk and PreventionStroke
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