Edelson, Dana P.
University of Chicago
10 papers on CoChatORCID 0009-0006-0867-3834
Most cited papers
- Verified
Quick sepsis-related organ failure assessment, systemic inflammatory response syndrome, and early warning scores for detecting clinical deterioration in infected patients outside the intensive care unit
Churpek, M. M., Snyder, A., Han, X., Sokol, S., Pettit, N., Howell, M. D., & Edelson, D. P. (2017) · American Journal of Respiratory and Critical Care Medicine
Sepsis Diagnosis and TreatmentInflammation biomarkers and pathways
Cited by 689
- Verified
Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards
Churpek, M. M., Yuen, T. C., Winslow, C., Meltzer, D. O., Kattan, M. W., & Edelson, D. P. (2016) · Critical Care Medicine
Machine Learning in HealthcareArtificial Intelligence in Healthcare
Cited by 638
- Verified
The development of a machine learning inpatient acute kidney injury prediction model.
Koyner, J. L., Carey, K. A., Edelson, D. P., & Churpek, M. M. (2018) · Critical Care Medicine
Acute Kidney Injury ResearchMachine Learning in Healthcare
Cited by 323
- Verified
Association between intensive care unit transfer delay and hospital mortality: A multicenter investigation
Churpek, M. M., Wendlandt, B., Zadravecz, F. J., Adhikari, R., Winslow, C., & Edelson, D. P. (2016) · Journal of Hospital Medicine
Cardiac Arrest and ResuscitationSepsis Diagnosis and Treatment
Cited by 143
- Verified
Identifying Patients With Sepsis on the Hospital Wards
Bhattacharjee, P., Edelson, D. P., & Churpek, M. M. (2017) · Chest
Sepsis Diagnosis and TreatmentInflammation biomarkers and pathways
Cited by 120
- Verified
The Impact of a Machine Learning Early Warning Score on Hospital Mortality: A Multicenter Clinical Intervention Trial
Winslow, C. J., Edelson, D. P., Churpek, M. M., Taneja, M., Shah, N. S., Datta, A., Wang, C.-H., Ravichandran, U., McNulty, P., Kharasch, M., et al. (2022) · Critical Care Medicine
Cardiac Arrest and ResuscitationMachine Learning in Healthcare
Cited by 69
- Verified
Real-Time Risk Prediction on the Wards: A Feasibility Study
Kang, M. A., Churpek, M. M., Zadravecz, F. J., Adhikari, R., Twu, N. M., & Edelson, D. P. (2016) · Critical Care Medicine
Cardiac Arrest and ResuscitationHealthcare Technology and Patient Monitoring
Cited by 61
- Verified
Hospital cardiac arrest resuscitation practice in the United States: A nationally representative survey
Edelson, D. P., Yuen, T. C., Mancini, M. E., Davis, D. P., Hunt, E. A., Miller, J. A., & Abella, B. S. (2014) · Journal of Hospital Medicine
Cardiac Arrest and ResuscitationPalliative Care and End-of-Life Issues
Cited by 61
- Verified
Obstructive sleep apnea and adverse outcomes in surgical and nonsurgical patients on the wards
Lyons, P. G., Zadravecz, F. J., Edelson, D. P., Mokhlesi, B., & Churpek, M. M. (2015) · Journal of Hospital Medicine
Obstructive Sleep Apnea ResearchCardiac, Anesthesia and Surgical Outcomes
Cited by 25
- Verified
Multicenter Development and Validation of a Multimodal Deep Learning Model to Predict Moderate to Severe AKI
Koyner, J. L., Martin, J., Carey, K. A., Caskey, J., Edelson, D. P., Mayampurath, A., Dligach, D., Afshar, M., & Churpek, M. M. (2025) · Clinical Journal of the American Society of Nephrology
Acute Kidney Injury ResearchMachine Learning in Healthcare
Cited by 10
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