1 citations · 2 across the 2 of their papers we have counts for
7 papers
Uncertainty-Aware PPG-2-ECG for Enhanced Cardiovascular Diagnosis using Diffusion Models
Omer Belhasin, Idan Kligvasser, George Leifman +7
Analyzing the cardiovascular system condition via Electrocardiography (ECG) is a common and highly effective approach, and it has been practiced and perfected over many decades. EC…
Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes
Li-Fang Cheng, Bianca Dumitrascu, Michael Zhang +4
Multi-output Gaussian processes (GPs) are a flexible Bayesian nonparametric framework that has proven useful in jointly modeling the physiological states of patients in medical tim…
An Optimal Policy for Patient Laboratory Tests in Intensive Care Units
Li-Fang Cheng, Niranjani Prasad, Barbara E Engelhardt
Laboratory testing is an integral tool in the management of patient care in hospitals, particularly in intensive care units (ICUs). There exists an inherent trade-off in the select…
Large Linear Multi-output Gaussian Process Learning
Vladimir Feinberg, Li-Fang Cheng, Kai Li +1
Gaussian processes (GPs), or distributions over arbitrary functions in a continuous domain, can be generalized to the multi-output case: a linear model of coregionalization (LMC) i…
A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units
Niranjani Prasad, Li-Fang Cheng, Corey Chivers +2
The management of invasive mechanical ventilation, and the regulation of sedation and analgesia during ventilation, constitutes a major part of the care of patients admitted to int…
BIISQ: Bayesian nonparametric discovery of Isoforms and Individual Specific Quantification
Derek Aguiar, Li-Fang Cheng, Bianca Dumitrascu +3
Most human protein-coding genes can be transcribed into multiple possible distinct mRNA isoforms. These alternative splicing patterns encourage molecular diversity and dysregulatio…