Modelling Risk of Cardio-Respiratory Instability as a Heterogeneous Process. - Lujie Chen; Artur Dubrawski; Marilyn Hravnak; Gilles Clermont; Michael R. Pinsky (AMIA, 2015)

A Framework for Visual Tracking of Risk and its Drivers in Monitoring Patients Susceptible for Cardiorespiratory Instability. - Lujie Chen; Gilles Clermont; Marilyn Hravnak; Michael R. Pinsky; Artur Dubrawski (AMIA, 2016)

Utility of Anti-hypertension Prescription Orders in Predicting Future Hypertensive Instability Events. - Xuan Wang; Lujie Chen; Marilyn Hravnak; Gilles Clermont; Michael R. Pinsky; Artur Dubrawski (AMIA, 2017)

Semi-Supervised Prediction of Comorbid Rare Conditions Using Medical Claims Data. - Chirag Nagpal; Kyle Miller 001; Tiffany Pellathy; Marilyn Hravnak; Gilles Clermont; Michael R. Pinsky; Artur Dubrawski (ICDM Workshops, 2017)

Learning temporal rules to forecast instability in continuously monitored patients. - Mathieu Guillame-Bert; Artur Dubrawski; Donghan Wang; Marilyn Hravnak; Gilles Clermont; Michael R. Pinsky (J. Am. Medical Informatics Assoc., 2017)

Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact. - Arnab Dey; Mononito Goswami; Joo Heung Yoon; Gilles Clermont; Michael R. Pinsky; Marilyn Hravnak; Artur Dubrawski (AMIA, 2022)

Engaging clinicians early during the development of a graphical user display of an intelligent alerting system at the bedside. - Stephanie Helman; Martha Ann Terry; Tiffany Pellathy; Andrew Williams; Artur Dubrawski; Gilles Clermont; Michael R. Pinsky; Salah S. Al-Zaiti; Marilyn Hravnak (Int. J. Medical Informatics, 2022)