Jamie S. Hirsch

According to our database, Jamie S. Hirsch authored at least 15 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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, January, 2024

2022

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, Michael I. Oppenheim

Proceedings of the AMIA 2022, 2022

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

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

2019

Automated Prediction of Patient Stability and Discharge within 36 Hours.

Kevin Coppa, Marsha Myetlis, Jamie S. Hirsch, Jan Horsky

Proceedings of the AMIA 2019, 2019

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

Proceedings of the AMIA 2018, 2018

MEWSCast: Predictive Forecasting of Modified Early Warning Scores for Preemptive Management of Clinical Acuity.

Jamie S. Hirsch, Raj Brar, Abraham Saraya, Kevin Bock, Michael I. Oppenheim, John Chelico, Shameer Khader

Proceedings of the AMIA 2018, 2018

Unsupervised Learning of an Advanced Illness Cohort to Develop Patient Stratification Models.

Raj Brar, Shameer Khader, Abraham Saraya, Kevin Bock, Michael I. Oppenheim, John Chelico, Jamie S. Hirsch

Proceedings of the AMIA 2018, 2018

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

Proceedings of the AMIA 2018, 2018

2016

Inconsistency and Variation in Concordance of Social History Documentation between Nursing and Provider Clinical Notes.

Jamie S. Hirsch, Kevin Bock, John Chelico, Petros Karamanlakis, Deborah Mensch, Michael I. Oppenheim

Proceedings of the AMIA 2016, 2016

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

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

2014

Sintesi: Making Health Information Meaningful.

Silis Y. Jiang, Jennifer E. Prey, Jamie S. Hirsch, Andrew H. Chiang

Proceedings of the AMIA 2014, 2014

Design and Evaluation of a Glomerular Disease Ontology.

Jamie S. Hirsch, Chunhua Weng

Proceedings of the AMIA 2014, 2014

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

Proceedings of the AMIA 2014, 2014