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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
16 March 2021
Related Link(DOI)
Journal & Impact Factor
Computational and Mathematical Methods in Medicine (IF: 1.770, Q2 in General Biochemistry,Genetics and Molecular Biology)
Status
Published
3 more properties
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)