AI-based Medical Chatbot For Disease Prediction

Authors: R Praveen, Assistant Professor Dr. Nagasundaram S

Abstract: – The main reason why older persons get dementia is Alzheimer's disease (AD). Machine learning is currently utilized to investigate metabolic disorders like Alzheimer's and diabetes that affect a significant part of the world's population. Each year, their infection rates are rising rapidly. Neurodegenerative abnormalities in the brain occur as a result of Alzheimer's disease. As our aged population increases, disorders that affect memory and functioning will affect more people, their families, and healthcare. On the social, financial, and economic fronts, these effects will have a significant impact. Alzheimer's disease is challenging to anticipate in its early stages. Early AD treatment is more efficient and results in less minor damage than later treatment. And it leads to less minor damage than a treatment applied later. In the search for the most accurate parameters for Alzheimer's disease prediction, a variety of algorithms, including Decision Tree, Random Forest, Support Vector Machine, Gradient Boosting, and Voting classifiers, have been used. CNN has been used. The Open Access Series of Imaging Studies (OASIS) data is used to generate predictions for Alzheimer's disease, and the performance of ML models is evaluated using metrics including Precision, Recall, Accuracy, and F1-score. Physicians can diagnose these diseases using the proposed classification approach. These ML algorithms have the potential to significantly reduce the overall deaths from Alzheimer's disease in cases of early diagnosis. The proposed approach yields amazing results, with the test data's best validation average accuracy of 90%.

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