Corey Chivers

发表

Sparse multi-output Gaussian processes for online medical time series prediction

Kai Li, Gregory Darnell, Li-Fang Cheng, 2020, BMC Medical Informatics and Decision Making.

Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes pdf

Barbara E. Engelhardt, Michael Zhang, Kai Li, 2020, AISTATS.

Sparse Multi-Output Gaussian Processes for Medical Time Series Prediction

Kai Li, Bianca Dumitrascu, Corey Chivers, 2017 .

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

Barbara E. Engelhardt, Corey Chivers, Michael Draugelis, 2017, UAI.

Validation and calibration of probabilistic predictions in ecology

Corey Chivers, Brian Leung, Norman D. Yan, 2014 .

Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 pdf

Irene Chen, Marzyeh Ghassemi, Alexandre Yahi, 2018, ArXiv.

Economic Impacts of Non-Native Forest Insects in the Continental United States

Robert G. Haight, Jeffrey Englin, Deborah G. McCullough, 2011, PloS one.

Locally Informed Simulation to Predict Hospital Capacity Needs During the COVID-19 Pandemic

Gary E. Weissman, Michael Z. Levy, Jason D. Christie, 2020, Annals of Internal Medicine.

Electronic Health Record Mortality Prediction Model for Targeted Palliative Care Among Hospitalized Medical Patients: a Pilot Quasi-experimental Study

Susan H. Regli, S. H. Regli, Corey Chivers, 2019, Journal of General Internal Medicine.

A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice.

Corey Chivers, Michael Draugelis, Asaf Hanish, 2019, Critical care medicine.

In response to "Development, implementation and impact of an automated early warning and response system for sepsis".

Corey Chivers, Michael Draugelis, Craig A Umscheid, 2015, Journal of hospital medicine.