Hirsch, Jamie S.

Presenting characteristics, comorbidities, and outcomes among 5700 patients hospitalized with COVID-19 in the New York City area

Richardson, S., Hirsch, J. S., Narasimhan, M., Crawford, J. M., McGinn, T., Davidson, K. W., and the Northwell COVID-19 Research Consortium, Barnaby, D. P., Becker, L. B., Chelico, J. D., et al. (2020) · JAMA

COVID-19 Clinical Research StudiesCOVID-19 and healthcare impacts

Cited by 9,254

HARVEST, a longitudinal patient record summarizer

Hirsch, J. S., Tanenbaum, J. S., Lipsky Gorman, S., Liu, C., Schmitz, E., Hashorva, D., Ervits, A., Vawdrey, D., Sturm, M., & Elhadad, N. (2015) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsData Visualization and Analytics

Cited by 135

Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis

Perotte, A., Ranganath, R., Hirsch, J. S., Blei, D., & Elhadad, N. (2015) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareChronic Kidney Disease and Diabetes

Cited by 128

Machine learning to assist clinical decision-making during the COVID-19 pandemic

Debnath, S., Barnaby, D. P., Coppa, K., Makhnevich, A., Kim, E. J., Chatterjee, S., Tóth, V., Levy, T. J., Paradis, M. D., Cohen, S. L., et al. (2020) · Bioelectronic Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 104

Development and validation of self-monitoring auto-updating prognostic models of survival for hospitalized COVID-19 patients

Levy, T. J., Coppa, K., Cang, J., Barnaby, D. P., Paradis, M. D., Cohen, S. L., Makhnevich, A., van Klaveren, D., Kent, D. M., Davidson, K. W., et al. (2022) · Nature Communications

Machine Learning in HealthcareCOVID-19 Clinical Research Studies

Cited by 14

A Systematic Review and Meta-analysis of Externally Validated Epic Clinical Decision Support Tools

Patel, H., Crusco, S., Hansen, D., Morales, J., Patale, T., Chiuzan, C., Sands, M., Naidich, J., Myers, K., Davidson, K. W., et al. (2026) · Journal of General Internal Medicine

Electronic Health Records SystemsMachine Learning in Healthcare

Cited by 4