Performance Modelling And Scalability Optimization Of Feature Selection And Machine Learning Methods For Arrhythmia Scope Prediction Strategies(Paperback, Dr.jyothi Sreedhar)
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Computer-aided decision-making supports clinical decision-making (CAD). Arrhythmia classification is a related topic that uses machine learning algorithms to help categorize various forms of arrhythmia. By putting these machine learning approaches into practice, we can prevent or at least lessen problems like incorrect diagnosis, human error, and incompetent medical practitioners. Since these computer-assisted decision-making systems were created using machine learning approaches, long-term clinical monitoring using them is typically favoured.
