Publications

Journal Articles

  • Yoon JH, Mu L,Chen L, Dubrawski A, Hravnak M, Pinsky MR, Clermont G. Predicting tachycardia as a surrogate for instability in the intensive care unit. Journal of clinical monitoring and computing. 2019 Feb 14:1-3.

  • Bose E, Chen L, Clermont G, Dubrawski A, Pinsky MR, Ren D, Hoffman LA, Hravnak M. Risk for cardiorespiratory instability following transfer to a monitored step-down unit. Respiratory care. 2017 Apr 1;62(4):415-22

  • Chen L, Ogundele, O., Clermont, G., Hravnak, M., Pinsky, M.R. and Dubrawski,A.W., 2017. Dynamic and personalized risk forecast in step-down units. Implications for monitoring paradigms. Annals of the American Thoracic Society, 14(3), pp.384-391.

  • Chen L, Dubrawski AW, Wang D, Fiterau M, Guillame-Bert M, Bose E, Kaynar AM, Wallace DJ, Guttendorf J, Clermont G, Pinsky MR, Hravnak M. Using supervised machine learning to classify real alerts and artifact in online multi-signal vital sign monitoring data. Critical Care Medicine. 2016.

  • Hravnak M, Chen L, Dubrawski A, Bose E, Clermont G, Pinsky MR. Real Alerts and Artifact Classification in Archived High-Frequency Multi-signal Vital Sign Monitoring DataImplications for Mining Big Data. Journal of Clinical Monitoring and Computing. 2015; (DOI) 10.1007/s10877-015-9788-2.

  • Hravnak M, Chen L, Dubrawski A, Bose E, Pinsky MR. Temporal distribution of instability events in continuously monitored step-down unit patients: implications for Rapid Response Systems. Resuscitation. 2015 Apr;89:99-105. PubMed Central PMCID: PMC4363221.

  • Dubrawski A, Ostlund J, Chen L, Computationally efficient scoring of activity using demographics and connectivity of entities. Artur Dubrawski, John K. Ostlund, Lujie Chen, Andrew W. Moore. Information Technology and Management 04/2012; 11(2):77-89.

Refereed Conference Proceedings (full paper)


  • Chen L, Li X, Xia Z, Song Z, Morency LP, Dubrawski A. Riding an emotional roller-coaster: A multimodal study of young child's math problem solving activities. June 2016, In Proceedings of the 9th International Conference on Educational Data Mining ( "exemplary papers" )

  • Chen L, Dubrawski A, Clermont G, Hravnak M, Pinsky MR. Modelling Risk of Cardio-Respiratory Instability as a Heterogeneous Process. November 2015, The American Medical Informatics Association Annual Symposium (Second place for student paper competition and Third place for ”Best of Student Papers in Knowledge Discovery and Data Mining” Knowledge Discovery and Data Mining (KDDM) Working Group)

  • Dubrawski A, Sarkar P, Chen L. Trade-offs between Agility and Reliability of Predictions in Dynamic Social Networks Used to Model Risk of Microbial Contamination of Food. 2009 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2009, Athens, Greece, 20-22 July 2009 (best paper award).

Refereed Conference Proceedings (short paper)

  • Chen L, Gjekmarkaj E, Dubrawski A, Parent as a Companion for Solving Challenging Math Problems: Insights from Multi-modal Observational Data. June 2019, In Proceedings of the 12th International Conference on Educational Data Mining (EDM)

  • Chen L, Admoni H, Dubrawski A, Toward A Companion Robot Fostering Perseverance in Math - A Pilot Study. March 2018, Human Robot Interaction 2018, Robot for Learning Workshop

  • Chen L, Supporting Math Problem Solving Coaching for Young Students: A Case for Weak Learning Companion. In Proceedings of the 10th International Conference on Artificial Intelligence in Education (AIED). Young Research Track paper. June 2018

  • Chen L, Dubrawski A. Accelerated Apprenticeship: Teaching Data Science Problem Solving Skills at Scale. In Proceedings of the 5th Learning at Scale Conference (L@S) 2018. Work in Progress paper.

Refereed Conference Proceedings (abstract, selected)

  • Chen L, Clermont G, Pellathy T, Wertz A, Yoon J, Pinsky MR, Dubrawski A, Hravnak M. Stratifying Severity of Instability in Continuously Monitored Patients. Critical Care Medicine. 2019 (Gold Snapshot Award SCCM 2019)

  • Chen L, Dubrawski A, Clermont G, Pellathy T, Wertz A, Pinsky MR, Hravnak M. Model Based Estimation of Instability Severity Level in Continuously Monitored Patients. Intensive Care Medicine Experimental. 2018 6(suppl 2):59

  • Chen L, Clermont G, Hravnak M, Pinsky MR. Dubrawski A, . Personalized Cardiorespiratory Instability Risk Evolution Among Continuously Monitored Patients. Critical Care Medicine. 2017.

  • Chen L, Dubrawski A, Hravnak M, Clermont G, Pinsky MR. Predicting Cardiorespiratory Instability risk trajectory groups in continuously monitored patients. Congress of Critical Care Medicine. 2016.

  • Hravnak M, Chen L, Dubrawski A, Clermont G, Pinsky MR. Cardiorespiratory instability alert subtypes in monitored step-down unit patients have low entropy. Critical Care Medicine. 2015; in press.

  • Chen L, Dubrawski A, Hravnak M, Clermont G, Pinsky MR. Forecasting cardio- respiratory instability in monitored patients: A machine learning approach. Congress of Critical Care Medicine. 2015.