Lujie (Karen) Chen
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Using supervised machine learning to classify real alerts and artifact in online multi-signal vital sign monitoring data
L Chen, A Dubrawski, D Wang, M Fiterau, M Guillame-Bert, E Bose, ...
Critical care medicine 44 (7), e456, 2016
A call to alarms: Current state and future directions in the battle against alarm fatigue
M Hravnak, T Pellathy, L Chen, A Dubrawski, A Wertz, G Clermont, ...
Journal of electrocardiology 51 (6), S44-S48, 2018
Real alerts and artifact classification in archived multi-signal vital sign monitoring data: implications for mining big data
M Hravnak, L Chen, A Dubrawski, E Bose, G Clermont, MR Pinsky
Journal of clinical monitoring and computing 30 (6), 875-888, 2016
Dynamic and personalized risk forecast in step-down units. Implications for monitoring paradigms
L Chen, O Ogundele, G Clermont, M Hravnak, MR Pinsky, AW Dubrawski
Annals of the American Thoracic Society 14 (3), 384-391, 2017
Predicting tachycardia as a surrogate for instability in the intensive care unit
JH Yoon, L Mu, L Chen, A Dubrawski, M Hravnak, MR Pinsky, G Clermont
Journal of Clinical Monitoring and Computing 33 (6), 973-985, 2019
Cardiorespiratory instability in monitored step-down unit patients: using cluster analysis to identify patterns of change
EL Bose, G Clermont, L Chen, AW Dubrawski, D Ren, LA Hoffman, ...
Journal of clinical monitoring and computing 32 (1), 117-126, 2018
Riding an Emotional Roller-Coaster: A Multimodal Study of Young Child's Math Problem Solving Activities.
L Chen, X Li, Z Xia, Z Song, LP Morency, A Dubrawski
International Educational Data Mining Society, 2016
Temporal distribution of instability events in continuously monitored step-down unit patients: implications for rapid response systems
M Hravnak, L Chen, A Dubrawski, E Bose, MR Pinsky
Resuscitation 89, 99-105, 2015
Modelling risk of cardio-respiratory Instability as a heterogeneous process
L Chen, A Dubrawski, G Clermont, M Hravnak, MR Pinsky
AMIA Annual Symposium Proceedings 2015, 1841, 2015
Predicting Students' Attention Level with Interpretable Facial and Head Dynamic Features in an Online Tutoring System (Student Abstract)
S Peng, L Chen, C Gao, RJ Tong
Proceedings of the AAAI Conference on Artificial Intelligence 34 (10), 13895 …, 2020
T-Cube Web Interface: a tool for immediate visualization, interactive manipulation and analysis of large sets of multivariate time series.
S Ray, A Michalska, M Sabhnani, A Dubrawski, M Baysek, L Chen, ...
AMIA... Annual Symposium proceedings. AMIA Symposium, 1106-1106, 2008
Trade-offs between agility and reliability of predictions in dynamic social networks used to model risk of microbial contamination of food
A Dubrawski, P Sarkar, L Chen
2009 International Conference on Advances in Social Network Analysis and …, 2009
Dynamic network model for predicting occurrences of salmonella at food facilities
P Sarkar, L Chen, A Dubrawski
International Workshop on Biosurveillance and Biosecurity, 56-63, 2008
Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral Signals
M Goswami, L Chen, A Dubrawski
Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 420-427, 2020
T-Cube Web Interface as a tool for detecting disease outbreaks in real-time: A pilot in India and Sri Lanka
N Waidyanatha, C Sampath, A Dubrawski, M Sabhnani, L Chen, ...
2010 IEEE RIVF International Conference on Computing & Communication …, 2010
Risk for cardiorespiratory instability following transfer to a monitored step-down unit
E Bose, L Chen, G Clermont, A Dubrawski, MR Pinsky, D Ren, ...
Respiratory care 62 (4), 415-422, 2017
Automatic identification of artifacts in monitoring critically ill patients
M Fiterau, A Dubrawski, L Chen, M Hravnak, G Clermont, MR Pinsky
Intensive care medicine 39 (2), S470, 2013
Detecting linkages between human illness and Salmonella isolates in food using a new tool for spatio-temporal analysis of multi-stream data.
L Chen, AW Dubrawski, S Ray, M Baysek, L Kelley, A Dunham, ...
AMIA... Annual Symposium proceedings. AMIA Symposium, 900-900, 2008
Multi-tier ground truth elicitation framework with application to artifact classification for predicting patient instability
D Wang, L Chen, M Fiterau, A Dubrawski, M Hravnak, E Bose, D Wallace, ...
J Intensive Care Med 40 (1 Suppl), S289, 2014
Real-time biosurveillance pilot in India and Sri Lanka
N Waidyanatha, S Prashant, M Ganesan, A Dubrawski, L Chen, M Baysek, ...
The 12th IEEE International Conference on e-Health Networking, Applications …, 2010
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