Abstract-In this paper, we introduce a method based on logistics Regression multi-class as a classifier to provide a powerful and accurate insight into cardiac arrhythmia. As suggested by our evaluation, this provide a robust, scalable, and accurate system, which can successfully tackle the challenges posed by the utilization of big data in the medical sector.
A method based on Logistic Regression Multinomial (LRM) able to provide a powerful and accurate insight into arrhythmia detection is discussed in REF .
Logistic Regression Multinomial for Arrhythmia Detection
2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W)
2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W)
Computer Science