RCMI Coordinating Center (RCMI CC) Header Logo

Connection

Omolola Ogunyemi to United States

This is a "connection" page, showing publications Omolola Ogunyemi has written about United States.
Connection Strength

0.101
  1. Ogunyemi O, Kermah D. Machine Learning Approaches for Detecting Diabetic Retinopathy from Clinical and Public Health Records. AMIA Annu Symp Proc. 2015; 2015:983-90.
    View in: PubMed
    Score: 0.065
  2. Cheng Y, Mohanty AF, Ogunyemi OI, Smith CA, Leroy G, Zeng QT. 2018 Salary Survey of AMIA Members: Factors Associated with Higher Salaries. AMIA Annu Symp Proc. 2019; 2019:275-284.
    View in: PubMed
    Score: 0.022
  3. Boxwala AA, Peleg M, Tu S, Ogunyemi O, Zeng QT, Wang D, Patel VL, Greenes RA, Shortliffe EH. GLIF3: a representation format for sharable computer-interpretable clinical practice guidelines. J Biomed Inform. 2004 Jun; 37(3):147-61.
    View in: PubMed
    Score: 0.007
  4. Peleg M, Boxwala AA, Tu S, Zeng Q, Ogunyemi O, Wang D, Patel VL, Greenes RA, Shortliffe EH. The InterMed approach to sharable computer-interpretable guidelines: a review. J Am Med Inform Assoc. 2004 Jan-Feb; 11(1):1-10.
    View in: PubMed
    Score: 0.007
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.
RCMI CC is supported by the National Institute on Minority Health and Health Disparities, National Institutes of Health (NIH), through Grant Number U24MD015970. The contents of this site are solely the responsibility of the authors and do not necessarily represent the official views of the NIH

For technical support please contact support