Mental Health Assistance and Early Detection of Alzheimer and Parkinson Diseases using Deep Learning

Parkinson's and Alzheimer's disease are neurological challenges with significant impacts in patients. Early detection is crucial for effective management. We propose a pioneering system that integrates validated tests with a mental health chatbot powered by deep learning to assist people with mentioned motor diseases and assist in mental health wellness. The chatbot engages users in mental health discussions and assists in interpreting screening tests for PD and AD, offering tailored recommendations based on user responses. By fine-tuning a pre-trained FLAN-T5 model, we enhance the chatbot's natural language understanding, enabling it to address mental health issues concisely.

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Publication Details

Published
2024-11-19
DOI
https://doi.org/10.1109/cenim64038.2024.10882693
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
0.00
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article

Mental Health Assistance and Early Detection of Alzheimer and Parkinson Diseases using Deep Learning

V. Dhanakoti, B. Muthusenthil, B. Bharathi, P Jeyakani
Brain Tumor Detection and Classification
article

Mental Health Assistance and Early Detection of Alzheimer and Parkinson Diseases using Deep Learning

V. Dhanakoti, B. Muthusenthil, B. Bharathi, P Jeyakani
article en

Abstract

Parkinson's and Alzheimer's disease are neurological challenges with significant impacts in patients. Early detection is crucial for effective management. We propose a pioneering system that integrates validated tests with a mental health chatbot powered by deep learning to assist people with mentioned motor diseases and assist in mental health wellness. The chatbot engages users in mental health discussions and assists in interpreting screening tests for PD and AD, offering tailored recommendations based on user responses. By fine-tuning a pre-trained FLAN-T5 model, we enhance the chatbot's natural language understanding, enabling it to address mental health issues concisely.

SRM Institute of Science and Technology (IN)
Openalex Percentile: Top 69%
Brain Tumor Detection and Classification
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