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- W2914350017 abstract "Atrial fibrillation (AFib) is a supraventricular tachyarrhythmia characterized by uncoordinated atrial activation and ineffective atrial contraction. AFib affects 1–2% of the general population, its prevalence increases with age and may remain long undiagnosed. Due to costs of hospitalization and treatment related to AFib and increasing prevalence, effective methods of detecting atrial fibrillation are needed." @default.
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- W2914350017 date "2019-01-01" @default.
- W2914350017 modified "2023-09-26" @default.
- W2914350017 title "Comparison of Atrial Fibrillation Detection Performance Using Decision Trees, SVM and Artificial Neural Network" @default.
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- W2914350017 doi "https://doi.org/10.1007/978-3-030-11890-7_65" @default.
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