Connection

Co-Authors

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This is a "connection" page, showing publications co-authored by Jason Zucker and Matthew Scherer.
Jason Zucker
Connection Strength
0.413
Matthew Scherer
  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. HIV-1 Infection Does Not Change Disease Course or Inflammatory Pattern of SARS-CoV-2-Infected Patients Presenting at a Large Urban Medical Center in New York City. Open Forum Infect Dis. 2021 Feb; 8(2):ofab029.
    View in: PubMed
    Score: 0.058
  3. Pretest Symptom Duration and Cycle Threshold Values for Severe Acute Respiratory Syndrome Coronavirus 2 Reverse-Transcription Polymerase Chain Reaction Predict Coronavirus Disease 2019 Mortality. Open Forum Infect Dis. 2021 Feb; 8(2):ofab003.
    View in: PubMed
    Score: 0.058
  4. Clinical Characteristics and Outcomes in People Living With Human Immunodeficiency Virus Hospitalized for Coronavirus Disease 2019. Clin Infect Dis. 2020 11 19; 71(16):2294-2297.
    View in: PubMed
    Score: 0.057
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.