Follow
Christine Lee
Christine Lee
Verified email at uci.edu
Title
Cited by
Cited by
Year
Machine-learning algorithm to predict hypotension based on high-fidelity arterial pressure waveform analysis
F Hatib, Z Jian, S Buddi, C Lee, J Settels, K Sibert, J Rinehart, ...
Anesthesiology: The Journal of the American Society of Anesthesiologists 129 …, 2018
2592018
Variability in practice and factors predictive of total crystalloid administration during abdominal surgery: retrospective two-centre analysis
M Lilot, JM Ehrenfeld, C Lee, B Harrington, M Cannesson, J Rinehart
British journal of anaesthesia 114 (5), 767-776, 2015
1312015
Development and validation of a deep neural network model for prediction of postoperative in-hospital mortality
CK Lee, I Hofer, E Gabel, P Baldi, M Cannesson
Anesthesiology: The Journal of the American Society of Anesthesiologists 129 …, 2018
1122018
Closed-loop assisted versus manual goal-directed fluid therapy during high-risk abdominal surgery: a case–control study with propensity matching
J Rinehart, M Lilot, C Lee, A Joosten, T Huynh, C Canales, D Imagawa, ...
Critical Care 19 (1), 94, 2015
652015
Closed-loop fluid administration compared to anesthesiologist management for hemodynamic optimization and resuscitation during surgery: an in vivo study
J Rinehart, C Lee, C Canales, A Kong, Z Kain, M Cannesson
Anesthesia & Analgesia 117 (5), 1119-1129, 2013
622013
First closed-loop goal directed fluid therapy during surgery: a pilot study
J Rinehart, Y Le Manach, H Douiri, C Lee, M Lilot, K Le, C Canales, ...
Annales francaises d'anesthesie et de reanimation 33 (3), e35-e41, 2014
512014
Closed-loop fluid resuscitation: robustness against weight and cardiac contractility variations
J Rinehart, C Lee, M Cannesson, G Dumont
Anesthesia & Analgesia 117 (5), 1110-1118, 2013
452013
An automated machine learning-based model predicts postoperative mortality using readily-extractable preoperative electronic health record data
BL Hill, R Brown, E Gabel, N Rakocz, C Lee, M Cannesson, P Baldi, ...
British Journal of Anaesthesia 123 (6), 877-886, 2019
412019
Big data and targeted machine learning in action to assist medical decision in the ICU
R Pirracchio, MJ Cohen, I Malenica, J Cohen, A Chambaz, M Cannesson, ...
Anaesthesia Critical Care & Pain Medicine 38 (4), 377-384, 2019
412019
Big data and targeted machine learning in action to assist medical decision in the ICU: the past, the present and the future
R Pirracchio, M Cohen, I Malenica, J Cohen, A Chambaz, M Canesson, ...
41*2018
Training and Validation of Deep Neural Networks for the Prediction of 90-Day Post-Liver Transplant Mortality Using UNOS Registry Data
BD Ershoff, CK Lee, CL Wray, VG Agopian, G Urban, P Baldi, ...
Transplantation Proceedings 52 (1), 246-258, 2020
232020
Development and validation of a deep neural network model to predict postoperative mortality, acute kidney injury, and reintubation using a single feature set
IS Hofer, C Lee, E Gabel, P Baldi, M Cannesson
npj Digital Medicine 3 (1), 1-10, 2020
182020
Science Without Conscience Is but the Ruin of the Soul: The Ethics of Big Data and Artificial Intelligence in Perioperative Medicine
C Canales, C Lee, M Cannesson
Anesthesia & Analgesia 130 (5), 1234-1243, 2020
142020
Machine learning of physiological waveforms and electronic health record data to predict, diagnose and treat haemodynamic instability in surgical patients: protocol for a …
M Cannesson, I Hofer, J Rinehart, C Lee, K Subramaniam, P Baldi, ...
BMJ open 9 (12), 2019
102019
Development and validation of an interpretable neural network for prediction of postoperative in-hospital mortality
CK Lee, M Samad, I Hofer, M Cannesson, P Baldi
NPJ digital medicine 4 (1), 1-9, 2021
92021
Comparison of automated vs. manual determination of the respiratory variations in the EKG R wave amplitude for the prediction of fluid responsiveness during surgery
CK Lee, J Rinehart, C Canales, M Cannesson
Journal of Computational Surgery 1 (1), 5, 2014
42014
Goal-directed fluid optimization based on respiratory variations in the pulse oximeter plethysmographic waveform during moderate risk surgery
DA Thuraisingham, W Williams, D Ramsingh, KV Le, CK Lee, C Canales, ...
Proceedings of the American Society Anesthesiologists, October A 847, 2012
32012
Preoperative predictions of in-hospital mortality using electronic medical record data
B Hill, RP Brown, E Gabel, C Lee, M Cannesson, LO Loohuis, R Johnson, ...
bioRxiv, 329813, 2018
22018
Use of Big Data and Machine Learning for Prediction of Hypotensive Events in High Risk ICU Patients From the MIMIC II MIT Database
CK Lee, M Cannesson, F Hatib
ANESTHESIA AND ANALGESIA 122, 2016
2*2016
Deep Learning for Predicting in Hospital Mortality
C Lee, I Hofer, M Cannesson, P Baldi
ANESTHESIA AND ANALGESIA 124, 85-86, 2017
12017
The system can't perform the operation now. Try again later.
Articles 1–20