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Connection

Dana Edelson to Machine Learning

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

2.153
  1. 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: 0.430
  2. Machine Learning-Based Pediatric Early Warning Score: Patient Outcomes in a Pre- Versus Post-Implementation Study, 2019-2023. Pediatr Crit Care Med. 2025 Feb 01; 26(2):e146-e154.
    View in: PubMed
    Score: 0.201
  3. Development and Validation of a Machine Learning Model for Early Detection of Untreated Infection. Crit Care Explor. 2024 Oct 01; 6(10):e1165.
    View in: PubMed
    Score: 0.196
  4. 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: 0.193
  5. 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: 0.170
  6. 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: 0.166
  7. Comparison of Machine Learning Methods for Predicting Outcomes After In-Hospital Cardiac Arrest. Crit Care Med. 2022 02 01; 50(2):e162-e172.
    View in: PubMed
    Score: 0.163
  8. 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: 0.158
  9. 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: 0.147
  10. The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model. Crit Care Med. 2018 07; 46(7):1070-1077.
    View in: PubMed
    Score: 0.127
  11. 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: 0.127
  12. 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: 0.042
  13. Predictors of In-Hospital Mortality After Rapid Response Team Calls in a 274 Hospital Nationwide Sample. Crit Care Med. 2018 07; 46(7):1041-1048.
    View in: PubMed
    Score: 0.032
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.