Modeling an expert system for detecting streptococcus Pneumonia in Pediatrics

The expert systems are developed to solve complex problems in a particular area, at the level of extra-ordinary human intelligence and knowledge. Because of their high performance, understandable, reliability, highly responsiveness they are used for diagnosis, predicting results, justifying the conclusion ect., Streptococcus Pneumoniae is a leading cause of bacterial pneumonia, meningitis, and sepsis in children worldwide. ^[3] Pneumonia is the leading cause of death in children worldwide.^[2] An estimated nearly 1·2 million children younger than 5 years died in 2011 from pneumonia.[8]In pneumonia, the lung air sacs are inflamed and are filled with fluid leading to breathlessness. The infants and children of under the age of 3 years are often affected. Pneumonia can be treated serious sometimes fatal when it is not treated early. This infection is identified by many predominant symptoms like fever, chills, cough, trouble in breathing and chest pain. The proposed system will detect the infection based on the symptoms and reports like blood culture and x-ray.