AN ENSEMBLING PLMRI:ALZHEIMER DETECTION WITH THE MAGNETIC RESONANCE IMAGING WITH PROMPT LEARNING MODEL.

Abstract

Alzheimer's disease is an example of the illnesses that primarily affects elderly individuals but is not related to aging. Disorientation and communication issues, as well as difficulties with abstract thought, are the most typical symptoms. Premature Alzheimer's Disease(AD) detection is crucial in order to treat the condition with therapy and medicine & restore memory and cognition. In order to aid early detection efforts at the preclinical stage, this work presents two attention model networks in this research for detecting Alzheimer's Disease using Magnetic Resonance Imaging (MRI) scans. According to studies, addressing AD symptoms and halting deterioration at an early stage can significantly affect outcomes. Early AD diagnosis made possible by conventional MRI scanning and the Prompt Learning Model would boost patients' life expectancies and quality of life by enabling Prompt Learning Model(PLM), incorporating the  LSTM (Long Short Term Evaluation) technique and effective interventions and therapies.