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ORCIDJamie S. Hirsch
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2020 – today
- 2024
[j5]Matthew Ho
, Todd J. Levy, Ioannis Koulas, Kyriaki Founta, Kevin Coppa, Jamie S. Hirsch, Karina W. Davidson, Alex C. Spyropoulos, Theodoros P. Zanos:
Longitudinal dynamic clinical phenotypes of in-hospital COVID-19 patients across three dominant virus variants in New York. Int. J. Medical Informatics 181: 105286 (2024)- 2022
- [c10]Rajdeep Brar, Marsha Meytlis, Isabel Friedman, Nicholas Dacosta, Alexander Rimar, Jessica Cohen, Tara Liberman, Jamie S. Hirsch, Kevin Bock, Michael I. Oppenheim:
Automated Identification of Patients with Advanced Illness. AMIA 2022 - 2020
- [j4]Vitej Bari, Jamie S. Hirsch, Joseph Narvaez, Robert Sardinia, Kevin R. Bock, Michael I. Oppenheim, Marsha Meytlis:
An approach to predicting patient experience through machine learning and social network analysis. J. Am. Medical Informatics Assoc. 27(12): 1834-1843 (2020) - [j3]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:
Let Sleeping Patients Lie, avoiding unnecessary overnight vitals monitoring using a clinically based deep-learning model. npj Digit. Medicine 3 (2020)
2010 – 2019
- 2019
- [c9]Kevin Coppa, Marsha Myetlis, Jamie S. Hirsch, Jan Horsky:
Automated Prediction of Patient Stability and Discharge within 36 Hours. AMIA 2019 - 2018
- [c8]Abhinav Agrawal, Molly Stewart, Jamie S. Hirsch, John Chelico, Shameer Khader, Negin Hajizadeh:
An Electronic Phenotyping Algorithm for Automated Cohorting of Patients with Severe Acute Respiratory Distress Syndrome. AMIA 2018 - [c7]Raj Brar, Shameer Khader, Abraham Saraya, Kevin Bock, Michael I. Oppenheim, John Chelico, Jamie S. Hirsch:
Unsupervised Learning of an Advanced Illness Cohort to Develop Patient Stratification Models. AMIA 2018 - [c6]Jamie S. Hirsch, Raj Brar, Abraham Saraya, Kevin Bock, Michael I. Oppenheim, John Chelico, Shameer Khader:
MEWSCast: Predictive Forecasting of Modified Early Warning Scores for Preemptive Management of Clinical Acuity. AMIA 2018 - [c5]Shameer Khader, Imroze Shaheen, Molly Stewart, Yalini Senathirajah, Jamie S. Hirsch, John Chelico, Negin Hajizadeh:
Discovering Drivers of Mortality in Severe Acute Respiratory Distress Syndrome: An Investigation using Machine Intelligence Methods. AMIA 2018 - 2016
- [c4]Jamie S. Hirsch, Kevin Bock, John Chelico, Petros Karamanlakis, Deborah Mensch, Michael I. Oppenheim:
Inconsistency and Variation in Concordance of Social History Documentation between Nursing and Provider Clinical Notes. AMIA 2016 - 2015
- [j2]Jamie S. Hirsch, Jessica S. Tanenbaum, Sharon Lipsky Gorman, Connie Liu, Eric Schmitz, Dritan Hashorva, Artem Ervits, David K. Vawdrey, Marc Sturm, Noémie Elhadad:
HARVEST, a longitudinal patient record summarizer. J. Am. Medical Informatics Assoc. 22(2): 263-274 (2015) - [j1]Adler J. Perotte, Rajesh Ranganath, Jamie S. Hirsch, David M. Blei, Noémie Elhadad:
Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis. J. Am. Medical Informatics Assoc. 22(4): 872-880 (2015) - 2014
- [c3]Noémie Elhadad, Sharon Lipsky Gorman, Jamie S. Hirsch, Connie Liu, David K. Vawdrey, Marc Sturm:
HARVEST, a Holistic Patient Record Summarizer at the Point of Care. AMIA 2014 - [c2]Jamie S. Hirsch, Chunhua Weng:
Design and Evaluation of a Glomerular Disease Ontology. AMIA 2014 - [c1]Silis Y. Jiang, Jennifer E. Prey, Jamie S. Hirsch, Andrew H. Chiang:
Sintesi: Making Health Information Meaningful. AMIA 2014
Coauthor Index
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