Type 1 Diabetes Case Study

Disease Detection on the Basis of Multiple Symptoms by Expert System

The aim of this paper is to develop a system for making the interface between the doctors and patients for immediately diagnose disease using tools which was usually done through manual processes. The novelty of the paper is to rapidly find out the disease on the basis of multiple symptoms. It checks generated reports about the patient status, which will be useful for further understanding to deal with the case. This system does not require any interference of doctor for analyzing case; the system will analyze and give reports to doctor and patient based on symptoms. This software is developed using C++ language and, hence it provides the complete solution for the

current

As everyone knows, this disease affects the various parts of body, especially organ system [13]. Diabetes also affects the vision of the patient [14]. In diabetes vision of the patient can get blurry and they also greater risk of cataracts, glaucoma and retinopathy. In diabetes, excess sugar builds up in the blood. Patient kidneys are forced to work overtime to filter and absorb the sugar. Due to this frequency of urination increases, this causes dehydration.

People who were suffering from the above said symptoms may feel fatigued, weight loss, etc., especially in the case of type1 diabetes. Detection of Diabetes is divided into three levels. First, Level 1 symptom, it includes Appetite,

Frequency of thirst, Frequency of urination, Vision, Family history of diabetes. Second, Level 2 symptoms, it includes Pancreatitis, Sugar level in urine, Hormonal disorder, Carcinoma, Hepatitis. Third, Level 3 symptoms, it includes Age, Body weight, Ketonuria, Auto antibodies [15] [16] [17] [18]. Finally, on the basis of these three levels of symptoms, level of diabetes is detected and the results are known, whether the person is diabetic or not.

The rest of the paper is structured as follows: Section 1 discussed about introduction, section 2 describes

The prevention and control of Noncommunicable disease like diabetes has been recognized by WHO Global Strategy as one of its priority[1].

Both type of diabetes for instance Diabetes mellitus and diabetes inscipidus are multifaceted set of metabolic disorders characterized by chronic hypoglycaemia and hyperglycaemia and disturbances of fat, carbohydrate, and protein metabolism consequential from defects in insulin action or insulin secretion, or both [2]. People with diabetes have considerably greater risk of cardiac, cerebrovascular and peripheral arterial disease. The long-term, effects include the damage of nephropathy, retinopathy, and neuropathy. However, all types of diabetes involve both genetic susceptibility and exposure to unhealthy environments or lifestyles and it exists in some low-and middle income countries [3]. This metabolic disorder consumes around 10-15% of the entire health care budget [4]. The burdon of diabetes treatment cost is significantly increasing. As per WHO report, the frequency of currently known genes associated with susceptibility to diabetes is going to high, but their value in predicting future diabetes