Rule Based Expert System for Cerebral Palsy Diagnosis
This work addresses medical diagnosis for cerebral palsy patients, but it is incremental as it applies an existing rule-based method to a specific domain.
The authors developed a rule-based expert system to diagnose cerebral palsy and classify its severity as mild, moderate, or severe based on patient symptoms.
The use of Artificial Intelligence is finding prominence not only in core computer areas, but also in cross disciplinary areas including medical diagnosis. In this paper, we present a rule based Expert System used in diagnosis of Cerebral Palsy. The expert system takes user input and depending on the symptoms of the patient, diagnoses if the patient is suffering from Cerebral Palsy. The Expert System also classifies the Cerebral Palsy as mild, moderate or severe based on the presented symptoms.