HARVEST, a Holistic Patient Record Summarizer at the Point of Care. - Noémie Elhadad; Sharon Lipsky Gorman; Jamie S. Hirsch; Connie Liu; David K. Vawdrey; Marc Sturm (AMIA, 2014)

Design and Evaluation of a Glomerular Disease Ontology. - Jamie S. Hirsch; Chunhua Weng (AMIA, 2014)

Sintesi: Making Health Information Meaningful. - Silis Y. Jiang; Jennifer E. Prey; Jamie S. Hirsch; Andrew H. Chiang (AMIA, 2014)

HARVEST, a longitudinal patient record summarizer. - Jamie S. Hirsch; Jessica S. Tanenbaum; Sharon Lipsky Gorman; Connie Liu; Eric Schmitz; Dritan Hashorva; Artem Ervits; David K. Vawdrey; Marc Sturm; Noémie Elhadad (J. Am. Medical Informatics Assoc., 2015)

Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis. - Adler J. Perotte; Rajesh Ranganath; Jamie S. Hirsch; David M. Blei; Noémie Elhadad (J. Am. Medical Informatics Assoc., 2015)

Inconsistency and Variation in Concordance of Social History Documentation between Nursing and Provider Clinical Notes. - Jamie S. Hirsch; Kevin Bock 002; John Chelico; Petros Karamanlakis; Deborah Mensch; Michael I. Oppenheim (AMIA, 2016)

An Electronic Phenotyping Algorithm for Automated Cohorting of Patients with Severe Acute Respiratory Distress Syndrome. - Abhinav Agrawal; Molly Stewart; Jamie S. Hirsch; John Chelico; Shameer Khader; Negin Hajizadeh (AMIA, 2018)

Unsupervised Learning of an Advanced Illness Cohort to Develop Patient Stratification Models. - Raj Brar; Shameer Khader; Abraham Saraya; Kevin Bock 002; Michael I. Oppenheim; John Chelico; Jamie S. Hirsch (AMIA, 2018)

MEWSCast: Predictive Forecasting of Modified Early Warning Scores for Preemptive Management of Clinical Acuity. - Jamie S. Hirsch; Raj Brar; Abraham Saraya; Kevin Bock 002; Michael I. Oppenheim; John Chelico; Shameer Khader (AMIA, 2018)

Discovering Drivers of Mortality in Severe Acute Respiratory Distress Syndrome: An Investigation using Machine Intelligence Methods. - Shameer Khader; Imroze Shaheen; Molly Stewart; Yalini Senathirajah; Jamie S. Hirsch; John Chelico; Negin Hajizadeh (AMIA, 2018)

Automated Prediction of Patient Stability and Discharge within 36 Hours. - Kevin Coppa; Marsha Myetlis; Jamie S. Hirsch; Jan Horsky (AMIA, 2019)

An approach to predicting patient experience through machine learning and social network analysis. - Vitej Bari; Jamie S. Hirsch; Joseph Narvaez; Robert Sardinia; Kevin R. Bock; Michael I. Oppenheim; Marsha Meytlis (J. Am. Medical Informatics Assoc., 2020)

Let Sleeping Patients Lie, avoiding unnecessary overnight vitals monitoring using a clinically based deep-learning model. - Viktor Tóth; Marsha Meytlis; Douglas P. Barnaby; Kevin R. Bock; Michael I. Oppenheim; Yousef Al-Abed; Thomas G. McGinn; Karina W. Davidson; Lance B. Becker; Jamie S. Hirsch; Theodoros P. Zanos (npj Digit. Medicine, 2020)

Automated Identification of Patients with Advanced Illness. - Rajdeep Brar; Marsha Meytlis; Isabel Friedman; Nicholas Dacosta; Alexander Rimar; Jessica Cohen; Tara Liberman; Jamie S. Hirsch; Kevin Bock 002; Michael I. Oppenheim (AMIA, 2022)

Longitudinal dynamic clinical phenotypes of in-hospital COVID-19 patients across three dominant virus variants in New York. - Matthew Ho; Todd J. Levy; Ioannis Koulas; Kyriaki Founta; Kevin Coppa; Jamie S. Hirsch; Karina W. Davidson; Alex C. Spyropoulos; Theodoros P. Zanos (Int. J. Medical Informatics, 2024)