Dana Edelson to Cohort Studies
This is a "connection" page, showing publications Dana Edelson has written about Cohort Studies.
Connection Strength
0.986
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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: 0.107
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Investigating the Impact of Different Suspicion of Infection Criteria on the Accuracy of Quick Sepsis-Related Organ Failure Assessment, Systemic Inflammatory Response Syndrome, and Early Warning Scores. Crit Care Med. 2017 Nov; 45(11):1805-1812.
Score: 0.092
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Association between intensive care unit transfer delay and hospital mortality: A multicenter investigation. J Hosp Med. 2016 11; 11(11):757-762.
Score: 0.084
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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: 0.082
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Comparison of mental-status scales for predicting mortality on the general wards. J Hosp Med. 2015 Oct; 10(10):658-63.
Score: 0.080
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Differences in vital signs between elderly and nonelderly patients prior to ward cardiac arrest. Crit Care Med. 2015 Apr; 43(4):816-22.
Score: 0.077
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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: 0.074
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Predicting clinical deterioration in the hospital: the impact of outcome selection. Resuscitation. 2013 May; 84(5):564-8.
Score: 0.065
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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: 0.064
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Development and Validation of a Machine Learning Model for Early Detection of Untreated Infection. Crit Care Explor. 2024 Oct 01; 6(10):e1165.
Score: 0.037
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Development and Validation of a Machine Learning COVID-19 Veteran (COVet) Deterioration Risk Score. Crit Care Explor. 2024 Jul 01; 6(7):e1116.
Score: 0.037
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Development and External Validation of a Machine Learning Model for Prediction of Potential Transfer to the PICU. Pediatr Crit Care Med. 2022 07 01; 23(7):514-523.
Score: 0.031
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Comparison of Machine Learning Methods for Predicting Outcomes After In-Hospital Cardiac Arrest. Crit Care Med. 2022 02 01; 50(2):e162-e172.
Score: 0.031
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Characteristics of Rapid Response Calls in the United States: An Analysis of the First 402,023 Adult Cases From the Get With the Guidelines Resuscitation-Medical Emergency Team Registry. Crit Care Med. 2019 10; 47(10):1283-1289.
Score: 0.026
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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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Association Between In-Hospital Critical Illness Events and Outcomes in Patients on the Same Ward. JAMA. 2016 12 27; 316(24):2674-2675.
Score: 0.022
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Obstructive sleep apnea and adverse outcomes in surgical and nonsurgical patients on the wards. J Hosp Med. 2015 Sep; 10(9):592-8.
Score: 0.020
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Quantitative relationship between end-tidal carbon dioxide and CPR quality during both in-hospital and out-of-hospital cardiac arrest. Resuscitation. 2015 Apr; 89:149-54.
Score: 0.019
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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