Predicting ICU mortality: a comparison of stationary and nonstationary temporal models. - Mehmet Kayaalp 002; Gregory F. Cooper; Gilles Clermont (AMIA, 2000)

Predicting with Variables Constructed from Temporal Sequences. - Mehmet Kayaalp 002; Gregory F. Cooper; Gilles Clermont (AISTATS, 2001)

From Inverse Problems in Mathematical Physiology to Quantitative Differential Diagnoses. - Sven Zenker; Jonathan E. Rubin; Gilles Clermont (PLoS Comput. Biol., 2007)

Parameter Synthesis in Nonlinear Dynamical Systems: Application to Systems Biology. - Alexandre Donzé; Gilles Clermont; Axel Legay; Christopher James Langmead (RECOMB, 2009)

Computational disease modeling - fact or fiction? - Jesper Tegnér; Albert Compte; Charles Auffray; Gary An; Gunnar Cedersund; Gilles Clermont; Boris S. Gutkin; Zoltán N. Oltvai; Klaas Enno Stephan; Randy Thomas; Pablo Villoslada (BMC Syst. Biol., 2009)

A linear code parameter search algorithm with applications to immunology. - Gregory M. Constantine; John Bartels; Carson C. Chow; Gilles Clermont; Yoram Vodovotz (Comput. Optim. Appl., 2009)

Parameter Synthesis in Nonlinear Dynamical Systems: Application to Systems Biology. - Alexandre Donzé; Gilles Clermont; Christopher James Langmead (J. Comput. Biol., 2010)

Development and validation of a large scale ICU simulation model with blocking. - Theologos Bountourelis; K. Louis Luangkesorn; Andrew J. Schaefer; Lisa M. Maillart; Spencer G. Nabors; Gilles Clermont (WSC, 2011)

A multivariate probabilistic method for comparing two clinical datasets. - Yuriy Sverchkov; Shyam Visweswaran; Gilles Clermont; Milos Hauskrecht; Gregory F. Cooper (IHI, 2012)

Sensitivity analysis of an ICU simulation model. - Theologos Bountourelis; David J. Eckman; K. Louis Luangkesorn; Andrew J. Schaefer; Spencer G. Nabors; Gilles Clermont (WSC, 2012)

The case against utilization: deceptive performance measures in inpatient care capacity models. - K. Louis Luangkesorn; Theologos Bountourelis; Andrew J. Schaefer; Spencer G. Nabors; Gilles Clermont (WSC, 2012)

Ensemble Models of Neutrophil Trafficking in Severe Sepsis. - Sang O. K. Song; Justin Hogg; Zhi-Yong Peng; Robert S. Parker; John A. Kellum; Gilles Clermont (PLoS Comput. Biol., 2012)

Conditional Outlier Approach for Detection of Unusual Patient Care Actions. - Milos Hauskrecht; Shyam Visweswaran; Gregory F. Cooper; Gilles Clermont (AAAI (Late-Breaking Developments), 2013)

Data-driven identification of unusual clinical actions in the ICU. - Milos Hauskrecht; Shyam Visweswaran; Gregory F. Cooper; Gilles Clermont (AMIA, 2013)

A model of neutrophil dynamics in response to inflammatory and cancer chemotherapy challenges. - Thang Ho; Gilles Clermont; Robert S. Parker (Comput. Chem. Eng., 2013)

Outlier detection for patient monitoring and alerting. - Milos Hauskrecht; Iyad Batal; Michal Valko; Shyam Visweswaran; Gregory F. Cooper; Gilles Clermont (J. Biomed. Informatics, 2013)

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

Development and Preliminary Evaluation of a Prototype of a Learning Electronic Medical Record System. - Andrew J. King; Gregory F. Cooper; Harry Hochheiser; Gilles Clermont; Shyam Visweswaran (AMIA, 2015)

A Neutrophil Phenotype Model for Extracorporeal Treatment of Sepsis. - Alexander D. Malkin; Robert P. Sheehan; Shibin Mathew; William J. Federspiel; Heinz Redl; Gilles Clermont (PLoS Comput. Biol., 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)

Outlier-based detection of unusual patient-management actions: An ICU study. - Milos Hauskrecht; Iyad Batal; Charmgil Hong; Quang Nguyen; Gregory F. Cooper; Shyam Visweswaran; Gilles Clermont (J. Biomed. Informatics, 2016)

Exploring Novel Graphical Representations of Clinical Data in a Learning EMR. - Luca Calzoni; Gilles Clermont; Gregory F. Cooper; Shyam Visweswaran; Harry Hochheiser (AMIA, 2017)

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)

Acute Kidney Injury in the Intensive Care Unit: Timing and Detection. - Leming Zhou; Valerie J. Watzlaf; Christopher M. Keener; Dilhari DeAlmeida; Rebecca S. DeSensi; Emily Foldes; Gilles Clermont; John A. Kellum (AMIA, 2017)

Eye-tracking for clinical decision support: A method to capture automatically what physicians are viewing in the EMR. - Andrew J. King; Harry Hochheiser; Shyam Visweswaran; Gilles Clermont; Gregory F. Cooper (CRI, 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)

The Impact of a Responsive Endogenous Pancreas in Critical Care Glucose Control. - Robert S. Parker; Timothy D. Knab; Gilles Clermont (ACC, 2018)

Design of a Learning Electronic Medical Record: A Qualitative Study of ICU Clinicians' Information Needs and Practices. - Luca Calzoni; Gilles Clermont; Gregory F. Cooper; Shyam Visweswaran; Harry Hochheiser (AMIA, 2018)

Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System. - Andrew J. King; Gregory F. Cooper; Harry Hochheiser; Gilles Clermont; Milos Hauskrecht; Shyam Visweswaran (AMIA, 2018)

APT-MCMC, a C++/Python implementation of Markov Chain Monte Carlo for parameter identification. - Li Ang Zhang; Alisa Urbano; Gilles Clermont; David Swigon; Ipsita Banerjee; Robert S. Parker (Comput. Chem. Eng., 2018)

Insights from a dissertation on the development of a Learning Electronic Medical Record System: data-driven, context-aware learning. - Andrew J. King; Shyam Visweswaran; Harry Hochheiser; Gilles Clermont; Gregory F. Cooper (AMIA, 2019)

Using machine learning to selectively highlight patient information. - Andrew J. King; Gregory F. Cooper; Gilles Clermont; Harry Hochheiser; Milos Hauskrecht; Dean F. Sittig; Shyam Visweswaran (J. Biomed. Informatics, 2019)

Correction: From Inverse Problems in Mathematical Physiology to Quantitative Differential Diagnoses. - Sven Zenker; Jonathan E. Rubin; Gilles Clermont (PLoS Comput. Biol., 2019)

Graphical Presentations of Clinical Data in a Learning Electronic Medical Record. - Luca Calzoni; Gilles Clermont; Gregory F. Cooper; Shyam Visweswaran; Harry Hochheiser (Appl. Clin. Inform., 2020)

Estimating Surgical Blood Loss Volume Using Continuously Monitored Vital Signs. - Yang Chen; Chengcheng Hong; Michael R. Pinsky; Ting Ma; Gilles Clermont (Sensors, 2020)

Prediction of Small Bowel Obstruction Outcomes with Machine Learning. - Tanner B. Wilson; Gilles Clermont; Harry Hochheiser (AMIA, 2021)

Understanding Clinical Collaborations Through Federated Classifier Selection. - Sebastian Caldas; Joo Heung Yoon; Michael R. Pinsky; Gilles Clermont; Artur Dubrawski (MLHC, 2021)

Unifying Cardiovascular Modelling with Deep Reinforcement Learning for Uncertainty Aware Control of Sepsis Treatment. - Thesath Nanayakkara; Gilles Clermont; Christopher James Langmead; David Swigon (CoRR, 2021)

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)

Deep Normed Embeddings for Patient Representation. - Thesath Nanayakkara; Gilles Clermont; Christopher James Langmead; David Swigon (CoRR, 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)

Intelligent Clinical Decision Support. - Michael R. Pinsky; Artur Dubrawski; Gilles Clermont (Sensors, 2022)

Acuity-Based Allocation of ICU-Downstream Beds with Flexible Staffing. - Silviya Valeva; Guodong Pang; Andrew J. Schaefer; Gilles Clermont (INFORMS J. Comput., 2023)

Parsimonious waveform-derived features consisting of pulse arrival time and heart rate variability predicts the onset of septic shock. - Moamen Soliman; Curtis Marshall; Jacob P. Kimball; Tilendra Choudhary; Gilles Clermont; Michael R. Pinsky; Timothy G. Buchman; Craig M. Coopersmith; Omer T. Inan; Rishikesan Kamaleswaran (Biomed. Signal Process. Control., 2024)

Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes. - Darren Liu; Cheng Ding; Delgersuren Bold; Monique Bouvier; Jiaying Lu 001; Benjamin Shickel; Craig S. Jabaley; Wenhui Zhang; Soojin Park; Michael J. Young; Mark S. Wainwright; Gilles Clermont; et al. (CoRR, 2024)

A Mechanical Ventilation Decision Support Algorithm that Mitigates Organ Failure during Acute Respiratory Distress Syndrome*. - Stefanos Papadopoulos; Gilles Clermont; Robert S. Parker (ACC, 2025)