Connection

Benjamin Glicksberg to Machine Learning

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This is a "connection" page, showing publications Benjamin Glicksberg has written about Machine Learning.
Benjamin Glicksberg
Connection Strength
0.462
Machine Learning
  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: 0.266
  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: 0.069
  3. The whole is greater than the sum of its parts: combining classical statistical and machine intelligence methods in medicine. Heart. 2018 07; 104(14):1228.
    View in: PubMed
    Score: 0.057
  4. Machine learning in cardiovascular medicine: are we there yet? Heart. 2018 07; 104(14):1156-1164.
    View in: PubMed
    Score: 0.055
  5. CANDI: an R package and Shiny app for annotating radiographs and evaluating computer-aided diagnosis. Bioinformatics. 2019 05 01; 35(9):1610-1612.
    View in: PubMed
    Score: 0.015
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.