PREDICTION OF NEUROLOGICAL DISEASE USING MACHINE LEARNING

PREDICTION OF NEUROLOGICAL DISEASE USING MACHINE LEARNING

Durga Prasad¹, U. Harsha VArdhan², M. Dhiraj Yadav³, Dr. Y. Srinivasulu⁴

^1,2,3Student, ⁴Professor

^1,2,3,4Department of Electronics and Communication Engineering

^S1,2,3,4Sreenidhi Institute of Science and Technology, Ghatkesar, Hyderabad, India

ABSTRACT - In the modern era, neurological diseases are a growing concern. Finding neurological disease in its early stages is a challenging task for a doctor. However, accurate disease diagnosis at an early stage is crucial because treatments are more likely to enhance patients' quality of life at that point. We suggest a statistical approach using the most prevalent symptoms of neurological diseases, which are gait, tremors, and micrographic, since there is no established test to identify the symptoms. In order to find the classification algorithm that provides the highest accuracy in diagnosing the patients, this involves analyzing the correlation between both the symptoms and classifying the obtained data using various classification algorithms. Greater medical care and higher standards of care may result from earlier detection.

Keywords : Neurological Disease, micrographic, diagnosis.