A Predictive Tool for Heart Disease Diagnosis using Artificial Neural Network

With the continuously growing number of applications of artificial neural networks (ANN), it has reached the medical field by being able to support in performing medical decisions or clinical diagnosis. More particularly, the use of ANN has shown more promising results in the diagnosis of common illnesses in the Philippines such as the heart disease. In this study, ANN was utilized in order to assessed a condition of a patient and provide an effective and accurate prediction. To attain this objective, it is needed to gather and organize the patient’s data that includes the blood sugar, cholesterol, age, etc. Then, the said data was trained using ANN. From this study, an accurate prediction method or procedure could serve as a warning system that could avoid the expensive medical check-ups that many or some Filipinos could not afford in an instant.