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Connection

Dana Edelson to Retrospective Studies

This is a "connection" page, showing publications Dana Edelson has written about Retrospective Studies.
Connection Strength

1.192
  1. Causes, Diagnostic Testing, and Treatments Related to Clinical Deterioration Events Among High-Risk Ward Patients. Crit Care Explor. 2024 Oct 01; 6(10):e1161.
    View in: PubMed
    Score: 0.091
  2. Early Warning Scores With and Without Artificial Intelligence. JAMA Netw Open. 2024 Oct 01; 7(10):e2438986.
    View in: PubMed
    Score: 0.091
  3. 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: 0.073
  4. Determining the Electronic Signature of Infection in Electronic Health Record Data. Crit Care Med. 2021 07 01; 49(7):e673-e682.
    View in: PubMed
    Score: 0.073
  5. Validation of Early Warning Scores at Two Long-Term Acute Care Hospitals. Crit Care Med. 2019 12; 47(12):e962-e965.
    View in: PubMed
    Score: 0.065
  6. 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.
    View in: PubMed
    Score: 0.063
  7. 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.
    View in: PubMed
    Score: 0.057
  8. 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: 0.056
  9. The value of vital sign trends for detecting clinical deterioration on the wards. Resuscitation. 2016 May; 102:1-5.
    View in: PubMed
    Score: 0.050
  10. Comparison of mental-status scales for predicting mortality on the general wards. J Hosp Med. 2015 Oct; 10(10):658-63.
    View in: PubMed
    Score: 0.049
  11. 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: 0.045
  12. Using electronic health record data to develop and validate a prediction model for adverse outcomes in the wards*. Crit Care Med. 2014 Apr; 42(4):841-8.
    View in: PubMed
    Score: 0.044
  13. Cardiopulmonary resuscitation outcomes in hospitalized community-dwelling individuals and nursing home residents based on activities of daily living. J Am Geriatr Soc. 2013 Jan; 61(1):34-9.
    View in: PubMed
    Score: 0.040
  14. Derivation of a cardiac arrest prediction model using ward vital signs*. Crit Care Med. 2012 Jul; 40(7):2102-8.
    View in: PubMed
    Score: 0.039
  15. Safety and efficacy of defibrillator charging during ongoing chest compressions: a multi-center study. Resuscitation. 2010 Nov; 81(11):1521-6.
    View in: PubMed
    Score: 0.035
  16. Development and external validation of deep learning clinical prediction models using variable-length time series data. J Am Med Inform Assoc. 2024 May 20; 31(6):1322-1330.
    View in: PubMed
    Score: 0.022
  17. Temperature Trajectory Subphenotypes in Oncology Patients with Neutropenia and Suspected Infection. Am J Respir Crit Care Med. 2023 05 15; 207(10):1300-1309.
    View in: PubMed
    Score: 0.021
  18. Identifying infected patients using semi-supervised and transfer learning. J Am Med Inform Assoc. 2022 09 12; 29(10):1696-1704.
    View in: PubMed
    Score: 0.020
  19. Predicting neurological outcomes after in-hospital cardiac arrests for patients with Coronavirus Disease 2019. Resuscitation. 2022 09; 178:55-62.
    View in: PubMed
    Score: 0.020
  20. 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.
    View in: PubMed
    Score: 0.019
  21. 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: 0.019
  22. A Vital Sign-Based Model to Predict Clinical Deterioration in Hospitalized Children. Pediatr Crit Care Med. 2020 09; 21(9):820-826.
    View in: PubMed
    Score: 0.017
  23. Internal and External Validation of a Machine Learning Risk Score for Acute Kidney Injury. JAMA Netw Open. 2020 08 03; 3(8):e2012892.
    View in: PubMed
    Score: 0.017
  24. Predicting clinical deterioration with Q-ADDS compared to NEWS, Between the Flags, and eCART track and trigger tools. Resuscitation. 2020 08; 153:28-34.
    View in: PubMed
    Score: 0.017
  25. 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: 0.017
  26. 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.
    View in: PubMed
    Score: 0.016
  27. 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: 0.015
  28. Implications of Centers for Medicare & Medicaid Services Severe Sepsis and Septic Shock Early Management Bundle and Initial Lactate Measurement on the Management of Sepsis. Chest. 2018 08; 154(2):302-308.
    View in: PubMed
    Score: 0.015
  29. 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.
    View in: PubMed
    Score: 0.015
  30. 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: 0.014
  31. Mechanical chest compressions improve rate of return of spontaneous circulation and allow for initiation of percutaneous circulatory support during cardiac arrest in the cardiac catheterization laboratory. Resuscitation. 2017 06; 115:56-60.
    View in: PubMed
    Score: 0.014
  32. 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: 0.013
  33. Early cardiac arrest in patients hospitalized with pneumonia: a report from the American Heart Association's Get With The Guidelines-Resuscitation Program. Chest. 2012 Jun; 141(6):1528-1536.
    View in: PubMed
    Score: 0.009
  34. Perishock pause: an independent predictor of survival from out-of-hospital shockable cardiac arrest. Circulation. 2011 Jul 05; 124(1):58-66.
    View in: PubMed
    Score: 0.009
  35. Derangements in blood glucose following initial resuscitation from in-hospital cardiac arrest: a report from the national registry of cardiopulmonary resuscitation. Resuscitation. 2009 Jun; 80(6):624-30.
    View in: PubMed
    Score: 0.008
  36. Difficulty of cardiac arrest rhythm identification does not correlate with length of chest compression pause before defibrillation. Crit Care Med. 2006 Dec; 34(12 Suppl):S427-31.
    View in: PubMed
    Score: 0.007
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.