Heart disease is a leading cause of death worldwide, so early detection is crucial. A new method using a deep neural network with hyperparameter tuning was developed to detect heart disease. Different tuning methods were tested, with Bayesian optimization showing the best results. The deep neural network with Bayesian optimization achieved an accuracy of 91.67% in detecting heart disease, making it a promising tool for early diagnosis.