Assessment of Neurological Disorders among Children using Machine Learning Techniques

Early identification of neurological issues in children enables medical professionals to improve the health of the patients. Therefore, it is crucial to recognise neurological abnormalities as they might develop into serious issues if care is not given at an early stage. With the aid of machine learning techniques, medical data can be analysed and the issue effectively diagnosed. In order to accurately diagnose three common neurological illnesses, this research has found machine learning algorithms on various accuracy measures. For the purpose of assessing the effectiveness of machine learning techniques, a neurological data set is gathered from a neuro clinic facility. Various psychological tests namely clinic neuropsychiatric observation, audio assessment, assessment of Intellectual coefficient are also conducted which are caused by theneurological disorders. Some of the collected attributes were determined as being essential for identifying the issue. The outcomes clearly show that the selected ML approaches gave more accurate results, and there is only a slight difference between their performances.