Dana Edelson to Risk Assessment
This is a "connection" page, showing publications Dana Edelson has written about Risk Assessment.
Connection Strength
3.001
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Validation of Early Warning Scores at Two Long-Term Acute Care Hospitals. Crit Care Med. 2019 12; 47(12):e962-e965.
Score: 0.419
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The value of vital sign trends for detecting clinical deterioration on the wards. Resuscitation. 2016 May; 102:1-5.
Score: 0.322
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Multicenter development and validation of a risk stratification tool for ward patients. Am J Respir Crit Care Med. 2014 Sep 15; 190(6):649-55.
Score: 0.292
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Risk stratification of hospitalized patients on the wards. Chest. 2013 Jun; 143(6):1758-1765.
Score: 0.267
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Predicting clinical deterioration in the hospital: the impact of outcome selection. Resuscitation. 2013 May; 84(5):564-8.
Score: 0.255
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Derivation of a cardiac arrest prediction model using ward vital signs*. Crit Care Med. 2012 Jul; 40(7):2102-8.
Score: 0.251
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Patient acuity rating: quantifying clinical judgment regarding inpatient stability. J Hosp Med. 2011 Oct; 6(8):475-9.
Score: 0.236
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Less is more: Detecting clinical deterioration in the hospital with machine learning using only age, heart rate, and respiratory rate. Resuscitation. 2021 11; 168:6-10.
Score: 0.118
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Internal and External Validation of a Machine Learning Risk Score for Acute Kidney Injury. JAMA Netw Open. 2020 08 03; 3(8):e2012892.
Score: 0.110
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Validating the Electronic Cardiac Arrest Risk Triage (eCART) Score for Risk Stratification of Surgical Inpatients in the Postoperative Setting: Retrospective Cohort Study. Ann Surg. 2019 06; 269(6):1059-1063.
Score: 0.101
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Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data. Ann Am Thorac Soc. 2018 07; 15(7):846-853.
Score: 0.095
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Comparison of the Between the Flags calling criteria to the MEWS, NEWS and the electronic Cardiac Arrest Risk Triage (eCART) score for the identification of deteriorating ward patients. Resuscitation. 2018 02; 123:86-91.
Score: 0.091
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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. Am J Respir Crit Care Med. 2017 04 01; 195(7):906-911.
Score: 0.087
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Real-Time Risk Prediction on the Wards: A Feasibility Study. Crit Care Med. 2016 08; 44(8):1468-73.
Score: 0.083
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Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards. Crit Care Med. 2016 Feb; 44(2):368-74.
Score: 0.080
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Comparison of early warning scores for predicting clinical deterioration and infection in obstetric patients. BMC Pregnancy Childbirth. 2022 Apr 06; 22(1):295.
Score: 0.031
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Predicting clinical deterioration with Q-ADDS compared to NEWS, Between the Flags, and eCART track and trigger tools. Resuscitation. 2020 08; 153:28-34.
Score: 0.027
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Comparison of Early Warning Scoring Systems for Hospitalized Patients With and Without Infection at Risk for In-Hospital Mortality and Transfer to the Intensive Care Unit. JAMA Netw Open. 2020 05 01; 3(5):e205191.
Score: 0.027
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Rapid response systems. Resuscitation. 2018 07; 128:191-197.
Score: 0.024
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Electronic cardiac arrest triage score best predicts mortality after intervention in patients with massive and submassive pulmonary embolism. Catheter Cardiovasc Interv. 2018 08 01; 92(2):366-371.
Score: 0.024
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Association Between Opioid and Benzodiazepine Use and Clinical Deterioration in Ward Patients. J Hosp Med. 2017 06; 12(6):428-434.
Score: 0.022
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Development of a Multicenter Ward-Based AKI Prediction Model. Clin J Am Soc Nephrol. 2016 11 07; 11(11):1935-1943.
Score: 0.021
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Clinical state transitions during advanced life support (ALS) in in-hospital cardiac arrest. Resuscitation. 2013 Sep; 84(9):1238-44.
Score: 0.017