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Optimal Length of the Heart Rate Variability data and Forecasting Time for Ventricular Fibrillation Prediction using Machine Learning

paper type
journal paper
range
international
order
50
Authors
Date of Issue
16 March 2021
Related Link(DOI)
Journal
Computational and Mathematical Methods in Medicine
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citation
Ki Moo Lim, Da Un Jeong, Getu Tadele Taye, Han-Jeong Hwang*, "Optimal Length of the Heart Rate Variability data and Forecasting Time for Ventricular Fibrillation Prediction using Machine Learning", Computational and Mathematical Methods in Medicine, March 16, 2021. (IF: 1.770, Q2 in General Biochemistry,Genetics and Molecular Biology)[article]