Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Jason Zucker and Matthew Baldwin.
Connection Strength

0.574
  1. Supervised Machine Learning Approach to Identify Early Predictors of Poor Outcome in Patients with COVID-19 Presenting to a Large Quaternary Care Hospital in New York City. J Clin Med. 2021 Aug 11; 10(16).
    View in: PubMed
    Score: 0.240
  2. Body Mass Index and Risk for Intubation or Death in SARS-CoV-2 Infection : A Retrospective Cohort Study. Ann Intern Med. 2020 11 17; 173(10):782-790.
    View in: PubMed
    Score: 0.224
  3. Characterization and clinical course of 1000 patients with coronavirus disease 2019 in New York: retrospective case series. BMJ. 2020 05 29; 369:m1996.
    View in: PubMed
    Score: 0.055
  4. Observational Study of Hydroxychloroquine in Hospitalized Patients with Covid-19. N Engl J Med. 2020 06 18; 382(25):2411-2418.
    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.