RCMI Coordinating Center (RCMI CC) Header Logo

Connection

Groesbeck Parham to Algorithms

Back to Details
This is a "connection" page, showing publications Groesbeck Parham has written about Algorithms.
Groesbeck Parham
Connection Strength
0.697
Algorithms
  1. Pinder LF, Nzayisenga JB, Shibemba A, Kusweje V, Chiboola H, Amuyunzu-Nyamongo M, Kapambwe S, Mwaba C, Lermontov P, Mumba C, Henry-Tillman R, Parham GP. Demonstration of an algorithm to overcome health system-related barriers to timely diagnosis of breast diseases in rural Zambia. PLoS One. 2018; 13(5):e0196985.
    View in: PubMed
    Score: 0.505
  2. Hu L, Mwanahamuntu MH, Sahasrabuddhe VV, Barrett C, Horning MP, Shah I, Laverriere Z, Banik D, Ji Y, Shibemba AL, Chisele S, Munalula MK, Kaunga F, Musonda F, Malyangu E, Hariharan KM, Parham GP. Internal validation of Automated Visual Evaluation (AVE) on smartphone images for cervical cancer screening in a prospective study in Zambia. Cancer Med. 2024 Jun; 13(11):e7355.
    View in: PubMed
    Score: 0.192
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