Expert System for Early Detection and Diagnosis of Central Nervous Diseases in Humans with Forward Chaining and Backward Chaining Methods Using Interactive Multimedia

Abstract

The tasks of the nervous system contained in the human body include diagnosing, analyzing and conveying information. This information that has been obtained will be combined with the sensory system, and will then be integrated in the brain and signals, then transmitted again to the motor system and autonomic pathways to control movement, visceral activity, and endocrine function. All actions are controlled by nerves which are interconnected to form a signaling network consisting of the sensory system and the motor system. The nervous system has several functions, including immunity and supporting function and modulating the activity of the nervous system. There are many types of neurological diseases found in the medical world, but due to a lack of information and knowledge about the disease. So the researchers made this study using forward and backward chaining reasoning methods, along with neurological disease therapy, ways of healing, and methods of treatment. This system is made so that sufferers can easily understand about neurological diseases, and understand the types of central nervous diseases, along with their healing therapies, and how to treat them. This system provides several solutions to prevent neurological diseases according to the type of disease. The system development methodology uses the waterfall method. Application software used to create this application program is Dreamweaver MX, Adobe Flash CS3, XAMPP, Adobe Photoshop, MySQL, Opera, Mozilla Firefox. The result of this research is an application program that can help users to find out the types of central nervous disease and provide extensive information about central nervous disease and find out how to treat and cure them.