Search Results for author: Li-Fang Cheng

Found 5 papers, 2 papers with code

An Optimal Policy for Patient Laboratory Tests in Intensive Care Units

no code implementations14 Aug 2018 Li-Fang Cheng, Niranjani Prasad, Barbara E. Engelhardt

There exists an inherent trade-off in the selection and timing of lab tests between considerations of the expected utility in clinical decision-making of a given test at a specific time, and the associated cost or risk it poses to the patient.

Decision Making

Large Linear Multi-output Gaussian Process Learning

1 code implementation30 May 2017 Vladimir Feinberg, Li-Fang Cheng, Kai Li, Barbara E. Engelhardt

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) is one approach.

Gaussian Processes Time Series

A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units

no code implementations20 Apr 2017 Niranjani Prasad, Li-Fang Cheng, Corey Chivers, Michael Draugelis, Barbara E. Engelhardt

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 intensive care units.

Sparse Multi-Output Gaussian Processes for Medical Time Series Prediction

1 code implementation27 Mar 2017 Li-Fang Cheng, Gregory Darnell, Bianca Dumitrascu, Corey Chivers, Michael E Draugelis, Kai Li, Barbara E. Engelhardt

In the scenario of real-time monitoring of hospital patients, high-quality inference of patients' health status using all information available from clinical covariates and lab tests is essential to enable successful medical interventions and improve patient outcomes.

Gaussian Processes Time Series +1

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