Prediction of cardiovascular risk by measuring carotid intima media thickness from an ultrasound image for type II diabetic mellitus subjects using machine learning and transfer learning techniques - Lakshmi Prabha, P.; Jayanthy, A. K.; Prem Kumar, C.; Ramraj, Balaji (The Journal of supercomputing, 2021)
Keywords: Blood; Cardiovascular disease; Compilers; Computer Science; Demographic variables; Diabetes; Heart diseases; Interpreters; Machine learning; Mathematical analysis; Mobile and Intelligent Sensing on High Performance Computing; Multilayer perceptrons; Parameters; Processor Architectures; Programming Languages; Risk; Sensitivity; Support vector machines; Thickness; Ultrasonic imaging; Carotid intima media thickness; Framingham risk score; Transfer learning technique; Machine learning; Pearson correlation