Our recent interdisciplinary research article on machine learning in medicine has been accepted!
TAGS: Artificial IntelligenceHeart DiseaseMachine LearningResearch

Our team in collaboration with interdisciplinary researchers across the world had an article titled “Comparative Study of Decision Tree, AdaBoost, Random Forest, Naïve Bayes, KNN, and Perceptron for Heart Disease Prediction” accepted for presentation at the IEEE SoutheastCon 2023 Conference. According to the World Health Organization (WHO), cardiovascular diseases are the leading cause of death globally. The article evaluated various machine learning techniques for their performance in heart disease prediction.