Forecasting the Peak Demand Days of Chronic Respiratory Diseases with Fuzzy Logic

摘要

Chronic Respiratory Diseases are the diseases which affects respiratory tract and other parts of lung. Few of the most usual respiratory diseases are Chronic Obstructive Respiratory Diseases (COPD), asthma, occupational lung diseases and pulmonary hypertension. These mainly occur due to sudden climatic changes and health conditions of patients become worse once they are not detected early. Quick variations in weather conditions result in overcrowding of hospitals. In this paper, a fuzzy inference system is developed for prediction of higher possible days of chronic respiratory diseases considering various atmospheric parameters. This helps the Emergency Departments (EDs) in hospitals to prepare best medical facilities for the patients to be provided in time. Study was conducted at Kottayam in state of Kerala, India. The system was trained with fuzzy rules resulting in forecasting peak demand days of Chronic Respiratory Diseases. The fuzzy system was simulated in matlab.