Comparative study of ANN and fuzzy classifier for forecasting electrical activity of heart to diagnose Covid-19

Author:

Nivethitha T.,Palanisamy Satheesh Kumar,Mohana Prakash K.,Jeevitha K.

Publisher

Elsevier BV

Subject

General Medicine

Reference27 articles.

1. Abhishek Murthy, Ezio Bartocci, Flavio.H,Fenton,James , Glimm, Richard A.Gray, Elizabeth M.Cherry,Scott A.Smolka and Radu Grosu, “Curvature analysis of cardiac excitation wavefront”, IEEE transactions on Computational Biology and Bioinformatics, vol. 10,No.2, 2013.

2. “Sourabh Shastri Kuljeet Singh, et. Al., “Time series forecasting of COVID-19 using deep learning models: India-USA compaitive case study” Chaos, Solitons, and Fractals,140, 2020.

3. “Forecasting models for coronavirus disease(COVID-19): a survey of the state-of-the art;Shinde;SN Comp Sci.,2020

4. Carro,J., Rodriguez,J.F., Laguna.P, Peuyo,E. “Analysis and improvement of a human ventricular cell model for investigation of cardiac arrhythmias”, Computing in Cardiology,vol.2,no.2, 2010.

5. Mrs. B.Anuradha, V.C.Veera Reddy “Cardiac arrhythmia classification using fuzzy classifiers”, Journal of Theoretical and Applied Information Technology,vol.20,no.1, 2008.

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