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Lee Jin Wee
Lee Jin Wee
Duke-NUS Medical School
Verified email at u.duke.nus.edu
Title
Cited by
Cited by
Year
Benchmarking emergency department prediction models with machine learning and public electronic health records
F Xie, J Zhou, JW Lee, M Tan, S Li, LSO Rajnthern, ML Chee, ...
Scientific Data 9 (1), 658, 2022
232022
Development and validation of an interpretable prehospital return of spontaneous circulation (P-ROSC) score for patients with out-of-hospital cardiac arrest using machine …
N Liu, M Liu, X Chen, Y Ning, JW Lee, FJ Siddiqui, SE Saffari, AFW Ho, ...
Eclinicalmedicine 48, 2022
222022
Implementation of Prediction Models in the Emergency Department from an Implementation Science Perspective—Determinants, Outcomes, and Real-World Impact: A Scoping Review
SL Chan, JW Lee, MEH Ong, FJ Siddiqui, N Graves, AFW Ho, N Liu
Annals of Emergency Medicine, 2023
152023
The Role of Drones in Out-of-Hospital Cardiac Arrest: A Scoping Review
JCL Lim, N Loh, HH Lam, JW Lee, N Liu, JW Yeo, AFW Ho
Journal of Clinical Medicine 11 (19), 5744, 2022
132022
Validation of the CaRdiac Arrest Survival Score (CRASS) for predicting good neurological outcome after out-of-hospital cardiac arrest in an Asian emergency medical service system
N Liu, J Wnent, JW Lee, Y Ning, AFW Ho, FJ Siddiqui, SL Lim, MYC Chia, ...
Resuscitation 176, 42-50, 2022
42022
Benchmarking Predictive Risk Models for Emergency Departments with Large Public Electronic Health Records
F Xie, J Zhou, JW Lee, M Tan, S Li, LS Rajnthern, ML Chee, ...
arXiv preprint arXiv:2111.11017, 2021
12021
Interpretable Machine Learning-Based Risk Scoring with Individual and Ensemble Model Selection for Clinical Decision Making
H Yuan, J Lee, M Liu, S Li, C Niu, J Wen, F Xie
2023
Implementation of prediction models in the emergency department from an implementation science perspective—Determinants, outcomes and real-world impact: A scoping review protocol
SL Chan, JW Lee, MEH Ong, FJ Siddiqui, N Graves, AFW Ho, N Liu
PLoS one 17 (5), 2022
2022
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