Data mining is a powerful method to extract knowledge from data. Raw data faces various
challenges that make traditional method improper for knowledge extraction. Data mining is …

Researchers have created several expert systems over the years to predict heart disease
early and assist cardiologists to enhance the diagnosis process. We present a diagnostic …

Heart failure is considered one of the leading cause of death around the world. The
diagnosis of heart failure is a challenging task especially in under-developed and …

Different automated decision support systems based on artificial neural network (ANN) have
been widely proposed for the detection of heart disease in previous studies. However, most …

Heart failure (HF) has been considered as one of the deadliest human diseases worldwide
and the accurate prediction of HF risks would be vital for HF prevention and treatment. To …

About half of the people who develop heart failure (HF) die within five years of diagnosis.
Over the years, researchers have developed several machine learning-based models for the …

Heart failure (HF) is considered a deadliest disease worldwide. Therefore, different
intelligent medical decision support systems have been widely proposed for detection of HF …

This paper presents a decision support system (DSS) modeled by a fuzzy expert system
(FES) for medical diagnosis to help physicians make better decisions. The proposed system …

As a result of the researches, it has been revealed that heart attack is the number one cause
of death in the world. This problem will continue to increase, especially today and in the …

Malaria and typhoid fever are revered for their ability to individually or jointly cause high
mortality rate. Both malaria and typhoid fever have similar symptoms and are famous for …