Jamie S. Hirsch

15 papers Misc 10Journal 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
Longitudinal dynamic clinical phenotypes of in-hospital COVID-19 patients across three dominant virus variants in New York.
Int. J. Medical Informatics
Matthew Ho, Todd J. Levy, Ioannis Koulas, Kyriaki Founta, Kevin Coppa, Jamie S. Hirsch, Karina W. Davidson, Alex C. Spyropoulos, Theodoros P. Zanos
2022 Misc conf
Automated Identification of Patients with Advanced Illness.
AMIA
Rajdeep Brar, Marsha Meytlis, Isabel Friedman, Nicholas Dacosta, Alexander Rimar, Jessica Cohen, Tara Liberman, Jamie S. Hirsch, Kevin Bock, Michael I. Oppenheim
2020 J jnl
An approach to predicting patient experience through machine learning and social network analysis.
J. Am. Medical Informatics Assoc.
Vitej Bari, Jamie S. Hirsch, Joseph Narvaez, Robert Sardinia, Kevin R. Bock, Michael I. Oppenheim, Marsha Meytlis
2020 J jnl
Let Sleeping Patients Lie, avoiding unnecessary overnight vitals monitoring using a clinically based deep-learning model.
npj Digit. Medicine
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
2019 Misc conf
Automated Prediction of Patient Stability and Discharge within 36 Hours.
AMIA
Kevin Coppa, Marsha Myetlis, Jamie S. Hirsch, Jan Horsky
2018 Misc conf
An Electronic Phenotyping Algorithm for Automated Cohorting of Patients with Severe Acute Respiratory Distress Syndrome.
AMIA
Abhinav Agrawal, Molly Stewart, Jamie S. Hirsch, John Chelico, Shameer Khader, Negin Hajizadeh
2018 Misc conf
Discovering Drivers of Mortality in Severe Acute Respiratory Distress Syndrome: An Investigation using Machine Intelligence Methods.
AMIA
Shameer Khader, Imroze Shaheen, Molly Stewart, Yalini Senathirajah, Jamie S. Hirsch, John Chelico, Negin Hajizadeh
2018 Misc conf
MEWSCast: Predictive Forecasting of Modified Early Warning Scores for Preemptive Management of Clinical Acuity.
AMIA
Jamie S. Hirsch, Raj Brar, Abraham Saraya, Kevin Bock, Michael I. Oppenheim, John Chelico, Shameer Khader
2018 Misc conf
Unsupervised Learning of an Advanced Illness Cohort to Develop Patient Stratification Models.
AMIA
Raj Brar, Shameer Khader, Abraham Saraya, Kevin Bock, Michael I. Oppenheim, John Chelico, Jamie S. Hirsch
2016 Misc conf
Inconsistency and Variation in Concordance of Social History Documentation between Nursing and Provider Clinical Notes.
AMIA
Jamie S. Hirsch, Kevin Bock, John Chelico, Petros Karamanlakis, Deborah Mensch, Michael I. Oppenheim
2015 J jnl
HARVEST, a longitudinal patient record summarizer.
J. Am. Medical Informatics Assoc.
Jamie S. Hirsch, Jessica S. Tanenbaum, Sharon Lipsky Gorman, Connie Liu, Eric Schmitz, Dritan Hashorva, Artem Ervits, David K. Vawdrey, Marc Sturm, Noémie Elhadad
2015 J jnl
Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis.
J. Am. Medical Informatics Assoc.
Adler J. Perotte, Rajesh Ranganath, Jamie S. Hirsch, David M. Blei, Noémie Elhadad
2014 Misc conf
Design and Evaluation of a Glomerular Disease Ontology.
AMIA
Jamie S. Hirsch, Chunhua Weng
2014 Misc conf
HARVEST, a Holistic Patient Record Summarizer at the Point of Care.
AMIA
Noémie Elhadad, Sharon Lipsky Gorman, Jamie S. Hirsch, Connie Liu, David K. Vawdrey, Marc Sturm
2014 Misc conf
Sintesi: Making Health Information Meaningful.
AMIA
Silis Y. Jiang, Jennifer E. Prey, Jamie S. Hirsch, Andrew H. Chiang