Search Results for author:
Found 6 papers, 0 papers with code
New approaches in modeling belt-flesh-pelvis interaction using obese GHBMC models
The results of this study showed that SPG method has potential to simulate large deformations in soft tissue which may be necessary to improve the biofidelity of belt/pelvis interaction.
DPVis: Visual Analytics with Hidden Markov Models for Disease Progression Pathways
Clinical researchers use disease progression models to understand patient status and characterize progression patterns from longitudinal health records.
Simultaneous Modeling of Multiple Complications for Risk Profiling in Diabetes Care
The proposed method is favorable for healthcare applications because in additional to improved prediction performance, relationships among the different risks and risk factors are also identified.
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records
We use this generative model together with a convolutional neural network (CNN) based prediction model to improve the onset prediction performance.
Exploiting Convolutional Neural Network for Risk Prediction with Medical Feature Embedding
To account for high dimensionality, we use the embedding medical features in the CNN model which hold the natural medical concepts.
Multiple Kernel Learning and the SMO Algorithm
Our objective is to train $p$-norm Multiple Kernel Learning (MKL) and, more generally, linear MKL regularised by the Bregman divergence, using the Sequential Minimal Optimization (SMO) algorithm.
