Matthew M. Churpek
University of Wisconsin–Madison(US)Wisconsin Division of Public Health(US)
Publications by Year
Research Areas
Sepsis Diagnosis and Treatment, Machine Learning in Healthcare, Emergency and Acute Care Studies, Cardiac Arrest and Resuscitation, Topic Modeling
Most-Cited Works
- → 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(2016)687 cited
- → Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards(2016)641 cited
- → Annual Incidence of Adult and Pediatric In-Hospital Cardiac Arrest in the United States(2019)465 cited
- → Incidence and Prognostic Value of the Systemic Inflammatory Response Syndrome and Organ Dysfunctions in Ward Patients(2015)362 cited
- → The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model*(2018)318 cited
- → Big Data and Data Science in Critical Care(2018)282 cited
- → Comparison of variable selection methods for clinical predictive modeling(2018)271 cited
- → Multicenter Development and Validation of a Risk Stratification Tool for Ward Patients(2014)254 cited
- → Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example*(2021)246 cited
- → The value of vital sign trends for detecting clinical deterioration on the wards(2016)226 cited