Connection

Co-Authors

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This is a "connection" page, showing publications co-authored by Matthew Levin and Arash Kia.
Matthew Levin
Connection Strength
0.507
Arash Kia
  1. Using Machine Learning to Predict ICU Transfer in Hospitalized COVID-19 Patients. J Clin Med. 2020 Jun 01; 9(6).
    View in: PubMed
    Score: 0.221
  2. Predictive Approaches for Acute Dialysis Requirement and Death in COVID-19. Clin J Am Soc Nephrol. 2021 08; 16(8):1158-1168.
    View in: PubMed
    Score: 0.059
  3. Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City. BMJ Open. 2020 11 27; 10(11):e040736.
    View in: PubMed
    Score: 0.057
  4. Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation. J Med Internet Res. 2020 11 06; 22(11):e24018.
    View in: PubMed
    Score: 0.057
  5. AKI in Hospitalized Patients with COVID-19. J Am Soc Nephrol. 2021 01; 32(1):151-160.
    View in: PubMed
    Score: 0.056
  6. Anticoagulation, Bleeding, Mortality, and Pathology in Hospitalized Patients With COVID-19. J Am Coll Cardiol. 2020 10 20; 76(16):1815-1826.
    View in: PubMed
    Score: 0.056
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.