IJFANS International Journal of Food and Nutritional Sciences

ISSN PRINT 2319 1775 Online 2320-7876

Predictive Models for Early Diagnosis and Progression Tracking of Alzheimer's disease: A Comprehensive Machine Learning Approach

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Mythreya Savaram

Abstract

Amidst the pervasive threat of Alzheimer's disease cutting across all demographics, this study explores a critical shift in detection and intervention methodologies. Recognizing the disease's subtle indicators embedded within daily activities and speech patterns, this research bridges the gap between past and present lifestyles, shaped by evolving work environments and reduced social interactions.

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