Jamie S. Hirsch

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 8

Top Topics

Supervised Learning

Automatic Summarization

Social Network Analysis

Disease Progression

Top Venues

J. Am. Medical Informatics Assoc.

Int. J. Medical Informatics

npj Digit. Medicine

Publications

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 (2024)
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)
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) (2020)
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)
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)
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)
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)
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)
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) (2015)
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) (2015)
Silis Y. Jiang, Jennifer E. Prey, Jamie S. Hirsch, Andrew H. Chiang
Sintesi: Making Health Information Meaningful. AMIA (2014)
Jamie S. Hirsch, Chunhua Weng
Design and Evaluation of a Glomerular Disease Ontology. AMIA (2014)
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)