2000 journal article

Using an artificial neural network to detect activations during ventricular fibrillation

COMPUTERS AND BIOMEDICAL RESEARCH, 33(1), 43–58.

By: M. Young n, S. Blanchard n, M. White n, E. Johnson, W. Smith* & R. Ideker*

MeSH headings : Diagnosis, Computer-Assisted; Electrocardiography / statistics & numerical data; Electrophysiology; Humans; Neural Networks, Computer; Sensitivity and Specificity; Ventricular Fibrillation / diagnosis; Ventricular Fibrillation / physiopathology
TL;DR: Staged training, a new method that uses different sets of training examples in different stages, was used to improve the ability of the artificial neural networks to detect activation and they were able to correctly classify more than 92% of new test examples. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

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