GMR-8195 Machine Learning-Enhanced HPCC Systems for Alzheimer's Disease Detection: A Scalable Solution for Early Diagnosis

Alzheimer's disease is an incurable brain disorder that gradually deteriorates memory and cognitive abilities, leading to symptoms such as memory loss, confusion, difficulty in thinking, and changes in language, behavior, and personality. Early diagnosis that is effective, innovative, and cost-efficient can help mitigate damage to nerve cells. Detecting these symptoms through voice responses and analyzing the corresponding transcripts offers a promising approach. This poster demonstrates how an open-source platform can be utilized for text classification to identify Alzheimer's disease, employing fast, inexpensive, and non-invasive methods to complement other diagnostic techniques