Paper Title :Diagnosis and Treatment Suggestion for Parkinson Diseases Using Ml Model

Author :Ramya R, Yogesh S, Vithyashri V R, Sabari Ganesh E, Ajay Krishna R, B.Rajesh Kumar

Article Citation :Ramya R ,Yogesh S ,Vithyashri V R ,Sabari Ganesh E ,Ajay Krishna R ,B.Rajesh Kumar , (2025 ) " Diagnosis and Treatment Suggestion for Parkinson Diseases Using Ml Model " , International Journal of Advances in Science, Engineering and Technology(IJASEAT) , pp. 12-16, Volume-13,Issue-1

Abstract : Machine learning algorithms have been advanced in various fields, including healthcare. This paper explores theDiagnosis and Treatment planning for Parkinson’s Disease. By feeding the Existing Patient Data, ML models can accurately Diagnosis the diseaseand suggest the optimal treatment options. The paper discusses different ML approaches, like supervised learning, unsupervised learning, and reinforcement learning, and their potential benefits in improving diagnostic accuracy and treatment efficacy for Parkinson’s Disease. Keywords - artificial neural networks, convolutional neural networks, deep learning, diabetes, disease diagnosis, heart disease, kidney disease, machine learning, causal ML

Type : Research paper

Published : Volume-13,Issue-1

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