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Found 5 papers, 1 papers with code
Modeling electronic health record data using a knowledge-graph-embedded topic model
We evaluated its performance based on EHR reconstruction and drug imputation.
HSADML: Hyper-Sphere Angular Deep Metric based Learning for Brain Tumor Classification
With utilization of SphereFace loss based deep metric learning it is ensured that samples from class clustered together while the different ones are pushed apart.
DFCANet: Dense Feature Calibration-Attention Guided Network for Cross Domain Iris Presentation Attack Detection
To alleviate these shortcomings, this paper proposes DFCANet: Dense Feature Calibration and Attention Guided Network which calibrates the locally spread iris patterns with the globally located ones.
Cross-Domain Iris Presentation Attack Detection
Incremental Learning
+1
Supervised multi-specialist topic model with applications on large-scale electronic health record data
Motivation: Electronic health record (EHR) data provides a new venue to elucidate disease comorbidities and latent phenotypes for precision medicine.
Modeling disease progression in longitudinal EHR data using continuous-time hidden Markov models
Modeling disease progression in healthcare administrative databases is complicated by the fact that patients are observed only at irregular intervals when they seek healthcare services.
