• A.K. Sreeja

Parkinson’s disease represents a fast-growing neurodegenerative condition. Diagnosis of Parkinson’s disease is based on history and examination. Accurate diagnosis of Parkinson’s disease (PD) has been a challenge to date, mainly due to the close relevance of PD to other neurological diseases. Unlike other neurological disorders, PD cannot be diagnosed at its early stages and remains almost undetected until the symptoms start appearing. The main task is to find a suitable method to diagnose PD at its early stages so that proper medication can be given. Magnetic Resonance Imaging (MRI) is capable of capturing changes in the structure of the brain caused due to deficiency of dopamine in subjects of Parkinson’s disease.The paper highlights different methodologies used in machine learning and deep neural network to detect disease along with the accuracy.

Parkinson’s disease, neurological disorders, deep neural network, MRI.

"Parkinson’s Disease Early Diagnosis: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.i211-i213, June-2022, Available :http://www.jetir.org/papers/JETIR2206828.pdf

"Parkinson’s Disease Early Diagnosis: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppi211-i213, June-2022, Available at : http://www.jetir.org/papers/JETIR2206828.pdf