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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
5572011
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
2552020
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
1562017
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, 2019
1132019
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
1112019
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, 2019
792019
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
692014
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
532020
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
432020
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
422013
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
412019
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 (9), 1841-1847, 2019
362019
Sparse multi-output Gaussian processes for medical time series prediction
LF Cheng, G Darnell, B Dumitrascu, C Chivers, ME Draugelis, K Li, ...
arXiv preprint arXiv:1703.09112, 2017
362017
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), 1-23, 2020
312020
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
292012
Validation and calibration of probabilistic predictions in ecology
C Chivers, B Leung, ND Yan
Methods in Ecology and Evolution 5 (10), 1023-1032, 2014
112014
Development and implementation of a machine-learning algorithm for early identification of sepsis in a multi-hospital academic healthcare system
HM Giannini, C Chivers, M Draugelis, A Hanish, B Fuchs, P Donnelly, ...
D15. CRITICAL CARE: DO WE HAVE A CRYSTAL BALL? PREDICTING CLINICAL …, 2017
102017
Bv Holle (2011) 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, 0
10
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), 2019
92019
Integrating machine-generated mortality estimates and behavioral nudges to promote serious illness conversations for cancer patients: Design and methods for a stepped-wedge …
CR Manz, RB Parikh, CN Evans, C Chivers, SH Regli, JE Bekelman, ...
Contemporary clinical trials 90, 105951, 2020
82020
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Articles 1–20