Kolmogorov-Arnold Network (KAN) for Cardio Vascular Disease Classification

Cardio Vascular Disease is one of the major reasons of death around the world today. Electronic health data with the help of sensors may help to take better and proactive care of general people and considerably ill patients. Artificial Intelligence helps us to take better care of people with the help of huge volume of different types of data available from disparate sources. With the advancements around us, a white box approach of usage of Machine Learning algorithms, is needed today than the old black box approach. Therefore, usage of Explainable AI or XAI is preferred today specifically for sensitive domains such as health care. In this paper, Kolmogorov-Arnold Network or KAN has been used to classify Cardio Vascular Diseases as part of the effort of usage of XAI. The method performs well with almost 99% accuracy.