Connection

Co-Authors

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This is a "connection" page, showing publications co-authored by Benjamin Glicksberg and Fayzan Chaudhry.
Benjamin Glicksberg
Connection Strength
0.398
Fayzan Chaudhry
  1. 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: 0.228
  2. Association of SARS-CoV-2 viral load at admission with in-hospital acute kidney injury: A retrospective cohort study. PLoS One. 2021; 16(2):e0247366.
    View in: PubMed
    Score: 0.058
  3. SARS-CoV-2 viral load predicts COVID-19 mortality. Lancet Respir Med. 2020 09; 8(9):e70.
    View in: PubMed
    Score: 0.056
  4. Prevalence and Impact of Myocardial Injury in Patients Hospitalized With COVID-19 Infection. J Am Coll Cardiol. 2020 08 04; 76(5):533-546.
    View in: PubMed
    Score: 0.055
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.