An Innovative Smart Soft Computing Methodology towards Disease (Cancer, Heart Disease, Arthritis) Detection in an Earlier Stage and in a Smarter Way?

Cancer, Heart disease, arthritis are the most common diseases found in the majority of the populations in recent years. Medical diagnosis is enormously essential but complex task that should be accomplished exactly and proficiently. Although momentous progress has been made in the diagnosis and treatment of these diseases, further investigation is still desired. These disease diagnosis are a challenging task which can offer automatic prediction about the disease of patient so that further treatment can be made informal. Due to this fact, disease diagnosis has received enormous interest globally among medical community. In this paper soft computing played an important role in diagnosis of these diseases with improved effectiveness and suitable accuracy. It gives a detailed view of a innovative earlier detection system for these diseases with the help of soft computing methods and proper attributes reference value to predict the diseases analytically. Different clinical values for attributes and biomarkers have been taken as an input and match these with the reference values to predict the diseases accurately. Diseases datasets are also analyzed here using soft computing approach. The outcome of this would help doctors, scientists, pharmacists in understanding the characteristic and association of attributes which is responsible for these diseases and provide proper diagnosis method and in discovering new drugs.