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Corey Chivers
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Economic impacts of non-native forest insects in the continental United States
JE Aukema, B Leung, K Kovacs, C Chivers, KO Britton, J Englin, ...
PLoS one 6 (9), e24587, 2011
6622011
Locally informed simulation to predict hospital capacity needs during the COVID-19 pandemic
GE Weissman, A Crane-Droesch, C Chivers, TB Luong, A Hanish, ...
Annals of internal medicine 173 (1), 21-28, 2020
3242020
A reinforcement learning approach to weaning of mechanical ventilation in intensive care units
N Prasad, LF Cheng, C Chivers, M Draugelis, BE Engelhardt
arXiv preprint arXiv:1704.06300, 2017
2032017
A machine learning algorithm to predict severe sepsis and septic shock: development, implementation, and impact on clinical practice
HM Giannini, JC Ginestra, C Chivers, M Draugelis, A Hanish, ...
Critical care medicine 47 (11), 1485-1492, 2019
1872019
Machine learning approaches to predict 6-month mortality among patients with cancer
RB Parikh, C Manz, C Chivers, SH Regli, J Braun, ME Draugelis, ...
JAMA network open 2 (10), e1915997-e1915997, 2019
1792019
Clinician perception of a machine learning–based early warning system designed to predict severe sepsis and septic shock
JC Ginestra, HM Giannini, WD Schweickert, L Meadows, MJ Lynch, ...
Critical care medicine 47 (11), 1477-1484, 2019
1262019
Effect of integrating machine learning mortality estimates with behavioral nudges to clinicians on serious illness conversations among patients with cancer: a stepped-wedge …
CR Manz, RB Parikh, DS Small, CN Evans, C Chivers, SH Regli, ...
JAMA oncology 6 (12), e204759-e204759, 2020
932020
Sparse multi-output Gaussian processes for online medical time series prediction
LF Cheng, B Dumitrascu, G Darnell, C Chivers, M Draugelis, K Li, ...
BMC medical informatics and decision making 20, 1-23, 2020
892020
Validation of a machine learning algorithm to predict 180-day mortality for outpatients with cancer
CR Manz, J Chen, M Liu, C Chivers, SH Regli, J Braun, M Draugelis, ...
JAMA oncology 6 (11), 1723-1730, 2020
792020
Rising complexity and falling explanatory power in ecology
E Low-Décarie, C Chivers, M Granados
Frontiers in Ecology and the Environment 12 (7), 412-418, 2014
792014
Electronic health record mortality prediction model for targeted palliative care among hospitalized medical patients: a pilot quasi-experimental study
KR Courtright, C Chivers, M Becker, SH Regli, LC Pepper, ME Draugelis, ...
Journal of general internal medicine 34, 1841-1847, 2019
622019
Trends and focus of machine learning applications for health research
B Beaulieu-Jones, SG Finlayson, C Chivers, I Chen, M McDermott, ...
JAMA network open 2 (10), e1914051-e1914051, 2019
592019
Importing risk: quantifying the propagule pressure–establishment relationship at the pathway level
J Bradie, C Chivers, B Leung
Diversity and Distributions 19 (8), 1020-1030, 2013
522013
MHadaptive: general Markov Chain Monte Carlo for Bayesian inference using adaptive Metropolis-Hastings sampling
C Chivers
R package version, 2012
462012
Predicting invasions: alternative models of human‐mediated dispersal and interactions between dispersal network structure and A llee effects
C Chivers, B Leung
Journal of Applied Ecology 49 (5), 1113-1123, 2012
332012
Long-term effect of machine learning–triggered behavioral nudges on serious illness conversations and end-of-life outcomes among patients with cancer: A randomized clinical trial
CR Manz, Y Zhang, K Chen, Q Long, DS Small, CN Evans, C Chivers, ...
JAMA oncology 9 (3), 414-418, 2023
212023
Clinical impact of an electronic dashboard and alert system for sedation minimization and ventilator liberation: a before-after study
BJ Anderson, D Do, C Chivers, K Choi, Y Gitelman, SJ Mehta, ...
Critical care explorations 1 (10), e0057, 2019
182019
Application of machine learning approaches to administrative claims data to predict clinical outcomes in medical and surgical patient populations
EJ MacKay, MD Stubna, C Chivers, ME Draugelis, WJ Hanson, ND Desai, ...
PLoS One 16 (6), e0252585, 2021
162021
Validation and calibration of probabilistic predictions in ecology
C Chivers, B Leung, ND Yan
Methods in Ecology and Evolution 5 (10), 1023-1032, 2014
152014
Implementing AI in healthcare
E Drysdale, E Dolatabadi, C Chivers, V Liu, S Saria, M Sendak, J Wiens, ...
Toronto: Vector-SickKids Health AI Deployment Symposium, 2019
142019
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