Authors : A. Catherine Esther Karunya; Dhanush R; Eswanthraj S; Manikandan M; Sham Sanjay N

Volume/Issue : Volume 10 - 2025, Issue 4 - April

Google Scholar : https://tinyurl.com/3w26m4wf

Scribd : https://tinyurl.com/mtaj6dym

DOI : https://doi.org/10.38124/ijisrt/25apr1295

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Abstract : A progressive neurodegenerative disease, Parkinson's disease (PD) is typified by both non-motor symptoms like mood disorders and cognitive impairment as well as motor symptoms like tremors, bradykinesia, and rigidity. Improving the quality of life for patients requires early diagnosis and proactive treatment. This project predicts the onset and progression of Parkinson's disease (PD) by using generative artificial intelligence (AI) to analyse patient medical data and Electronic Health Records (EHR). Additionally, it offers personalised lifestyle solutions based on each person's medical history, including plans for stress management, exercise, and diet. Real-time analysis and forecasts can help medical professionals make well-informed decisions and give patients practical preventive measures by integrating the platform with hospital databases and electronic health record systems. By using AI- driven insights, this system enables patients and healthcare professionals to take proactive measures to improve patient well-being.

Keywords : Parkinson's Disease, Generative AI, EHR Systems, Predictive Modeling, Personalized Healthcare.

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