HyMNet: a Multimodal Deep Learning System for Hypertension Classification using Fundus Photographs and Cardiometabolic Risk Factors.
Mohammed BaharoonHessa AlmatarReema AlduhayanTariq AldebasiBadr AlahmadiYahya BokhariMohammed AlawadAhmed AlmazroaAbdulrhman AljouiePublished in: CoRR (2023)
Keyphrases
- risk factors
- deep learning
- blood pressure
- risk assessment
- unsupervised learning
- statistical methods
- restricted boltzmann machine
- machine learning
- unsupervised feature learning
- risk management
- decision trees
- pattern recognition
- feature extraction
- supervised learning
- support vector machine
- support vector
- medical images
- model selection
- higher order
- knn
- feature selection