A Holistic Approach to Multimodal Brain Disease Diagnosis in Imbalanced Data

Prediction in large-scale dataset processing involves feature extraction; the problem lies in the inaccuracy of feature extraction and classification from data sets. Our approach to the issue is to use Convolutional Neural Networks (CNNs), which are efficient in feature extraction and classification. A critical step in the classification process is feature selection and extraction. must consider feature selection and extraction to boost efficiency and produce better categorization. As such, figuring out the precise outcome might be straightforward. As Alzheimer's disease progresses, individuals may find it difficult to complete everyday chores, lose the ability to identify loved ones, and suffer severe cognitive impairment. The impact of this disease extends beyond the individual, placing emotional and practical burdens on their families and caregiver