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Connection

Dana Edelson to Intensive Care Units

This is a "connection" page, showing publications Dana Edelson has written about Intensive Care Units.
Connection Strength

4.997
  1. 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.
    View in: PubMed
    Score: 0.454
  2. Real-Time Risk Prediction on the Wards: A Feasibility Study. Crit Care Med. 2016 08; 44(8):1468-73.
    View in: PubMed
    Score: 0.417
  3. Association between intensive care unit transfer delay and hospital mortality: A multicenter investigation. J Hosp Med. 2016 11; 11(11):757-762.
    View in: PubMed
    Score: 0.414
  4. The value of vital sign trends for detecting clinical deterioration on the wards. Resuscitation. 2016 May; 102:1-5.
    View in: PubMed
    Score: 0.404
  5. 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.
    View in: PubMed
    Score: 0.402
  6. 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.
    View in: PubMed
    Score: 0.366
  7. Relationship between ICU bed availability, ICU readmission, and cardiac arrest in the general wards. Crit Care Med. 2014 Sep; 42(9):2037-41.
    View in: PubMed
    Score: 0.365
  8. Predicting clinical deterioration in the hospital: the impact of outcome selection. Resuscitation. 2013 May; 84(5):564-8.
    View in: PubMed
    Score: 0.319
  9. Sifting through the heterogeneity of the Rapid Response System literature. Resuscitation. 2012 Dec; 83(12):1419-20.
    View in: PubMed
    Score: 0.319
  10. Early Warning Scores With and Without Artificial Intelligence. JAMA Netw Open. 2024 Oct 01; 7(10):e2438986.
    View in: PubMed
    Score: 0.183
  11. 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.
    View in: PubMed
    Score: 0.148
  12. Accuracy of Clinicians' Ability to Predict the Need for Intensive Care Unit Readmission. Ann Am Thorac Soc. 2020 07; 17(7):847-853.
    View in: PubMed
    Score: 0.137
  13. 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.
    View in: PubMed
    Score: 0.135
  14. Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data. Ann Am Thorac Soc. 2018 07; 15(7):846-853.
    View in: PubMed
    Score: 0.119
  15. Accuracy Comparisons between Manual and Automated Respiratory Rate for Detecting Clinical Deterioration in Ward Patients. J Hosp Med. 2018 07 01; 13(7):486-487.
    View in: PubMed
    Score: 0.116
  16. Location of In-Hospital Cardiac Arrest in the United States-Variability in Event Rate and Outcomes. J Am Heart Assoc. 2016 09 29; 5(10).
    View in: PubMed
    Score: 0.105
  17. The value of clinical judgment in the detection of clinical deterioration. JAMA Intern Med. 2015 Mar; 175(3):456-8.
    View in: PubMed
    Score: 0.094
  18. A prospective study of nighttime vital sign monitoring frequency and risk of clinical deterioration. JAMA Intern Med. 2013 Sep 09; 173(16):1554-5.
    View in: PubMed
    Score: 0.085
  19. Derivation of a cardiac arrest prediction model using ward vital signs*. Crit Care Med. 2012 Jul; 40(7):2102-8.
    View in: PubMed
    Score: 0.078
  20. Patient acuity rating: quantifying clinical judgment regarding inpatient stability. J Hosp Med. 2011 Oct; 6(8):475-9.
    View in: PubMed
    Score: 0.074
  21. Development and Validation of a Machine Learning COVID-19 Veteran (COVet) Deterioration Risk Score. Crit Care Explor. 2024 Jul 01; 6(7):e1116.
    View in: PubMed
    Score: 0.045
  22. Executive Summary: Society of Critical Care Medicine Guidelines on Recognizing and Responding to Clinical Deterioration Outside the ICU. Crit Care Med. 2024 02 01; 52(2):307-313.
    View in: PubMed
    Score: 0.044
  23. Society of Critical Care Medicine Guidelines on Recognizing and Responding to Clinical Deterioration Outside the ICU: 2023. Crit Care Med. 2024 02 01; 52(2):314-330.
    View in: PubMed
    Score: 0.044
  24. The Impact of a Machine Learning Early Warning Score on Hospital Mortality: A Multicenter Clinical Intervention Trial. Crit Care Med. 2022 09 01; 50(9):1339-1347.
    View in: PubMed
    Score: 0.040
  25. Comparison of early warning scores for predicting clinical deterioration and infection in obstetric patients. BMC Pregnancy Childbirth. 2022 Apr 06; 22(1):295.
    View in: PubMed
    Score: 0.039
  26. Association Between Survival and Time of Day for Rapid Response Team Calls in a National Registry. Crit Care Med. 2017 10; 45(10):1677-1682.
    View in: PubMed
    Score: 0.028
  27. Obstructive sleep apnea and adverse outcomes in surgical and nonsurgical patients on the wards. J Hosp Med. 2015 Sep; 10(9):592-8.
    View in: PubMed
    Score: 0.024
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.