The overarching aim of this study is to develop a softcomputing system for the differential
diagnosis of tropical diseases. These conditions are of concern to health bodies, physicians …

The complexity of malaria diagnosis increases because of symptom manifestation that could
be confused with other tropical diseases and the fuzziness associated with patients' …

The emergence of information technology (IT) has opened unprecedented opportunities in
health care delivery as the demands for intelligent and knowledge-based systems have …

The report of the World Health Organization (WHO) about the poor accessibility of people
living in low-to-middle-income countries to medical facilities and personnel has been a …

Dengue is a viral infection widely distributed in tropical and subtropical regions of the world.
Dengue is characterized by high fatality rates when the diagnosis is not made promptly and …

Abstract Rheumatic-Musculoskeletal Disease (RMD) is a leading cause of disability
worldwide. It causes inflammation of the connecting body structures, affects joints, tendons …

In this work, the Fuzzy Inference Map approach (also known as Fuzzy Cognitive Map) is
investigated to handle with the problem of risk analysis and assessment of pulmonary …

Time dependence in medical diagnosis is important since, frequently, symptoms evolve over
time, thus, changing with the progression of an illness. Taking into consideration that …

Dengue remains a globally prevalent and potentially fatal disease, affecting millions of
people worldwide each year. Early and accurate detection of dengue complications is …

Cardiovascular diseases (CVD) and strokes produce immense health and economic
burdens globally. Coronary Artery Disease (CAD) is the most common type of …