TY - JOUR ID - 48079 TI - Analysis and Neural Modeling of MRI Scans in Alzheimer's Disease JO - Journal of Advanced Medical Sciences and Applied Technologies JA - JAMSAT LA - en SN - 2423-5903 AU - Saluja, Avneet AU - Rawat, Kinjal AU - Mistry, Sakshi AU - Rajput, Aryan AU - Pathak, Tejas AU - Patel, Vishwas AD - Department of Computer Science and Engineering, ITM Universe, Halol, Vadodara, Gujarat, India Y1 - 2022 PY - 2022 VL - IS - SP - EP - KW - FDG-PET KW - PIB-PET KW - MCI KW - diagnosis KW - Automated regions of interest DO - 10.30476/jamsat.2022.94240.1033 N2 - This study is aimed to demonstrate how analysis and neural modeling of the MRI scans of patients with Alzheimer’s disease can help in its diagnosis at an early stage. This can guide an early prediction and if applied with instant medications then it can help diminish the deterioration rate of the brain cells of the patients. The dataset of the MRI scans of patients was analyzed with the help of machine learning algorithms including ANN (Artificial Neural Network), K Nearest Neighbour(KNN), Linear Regression, Support Vector Machine(SVM), RESNET50 (Residual Network), and Exploratory Data Analysis (EDA) which resulted with KNN having the highest precision rate for group classification. UR - https://jamsat.sums.ac.ir/article_48079.html L1 - ER -