An ensemble method based multilayer dynamic system to predict cardiovascular disease using machine learning approach

Cardiovascular disease is defined as a set of conditions related to the disorder of the heart and blood vessels. Predicting and diagnosing cardiovascular disease is significant to ensure the appropriate treatment of this disease. Machine learning approaches are generally utilized to automatically detect the hidden patterns in vast amounts of data without human intervention. In the early stage of cardiovascular disease, a machine learning model can aid physicians in making the right decision about the medication. This research aims to develop an intelligent agent to predict cardiovascular disease to investigate what steps should be taken before any untoward incident occurs. This paper proposes an ensemble method-based multilayer dynamic system (MLDS) that can improve its current knowledge in every layer. The…