Connection

Co-Authors

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This is a "connection" page, showing publications co-authored by David Reich and Benjamin Glicksberg.
David Reich
Connection Strength
0.517
Benjamin Glicksberg
  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. The association between obesity and peak antibody titer response in COVID-19 infection. Obesity (Silver Spring). 2021 09; 29(9):1547-1553.
    View in: PubMed
    Score: 0.060
  3. Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study. J Med Internet Res. 2021 02 22; 23(2):e26107.
    View in: PubMed
    Score: 0.058
  4. 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
  5. Association between COVID-19 diagnosis and presenting chief complaint from New York City triage data. Am J Emerg Med. 2021 Aug; 46:520-524.
    View in: PubMed
    Score: 0.057
  6. AKI in Hospitalized Patients with COVID-19. J Am Soc Nephrol. 2021 01; 32(1):151-160.
    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.