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Predicting chronic kidney disease using supervised machine learning · Peerford

Article · Journal · 2025

Predicting chronic kidney disease using supervised machine learning

Emmanuel Adu Sarfo, Harold Tobias Adu-Twum, Philip Mensah, Michael Nti Ababio, Yejide Lamina, Yewande Iyimide Adeyeye

International Medical Science Research Journal

Open access · Diamond
International · 3 countries

Read it 10.51594/imsrj.v5i5.1967

Citations: 0from other works
Field-weighted impact: 0.001.00 is the world average for its field and year
Among its field: 15th percentileby citations, against works of its field and year
Authors: 6from 6 institutions

Authors

6 authors across 6 institutions in 3 countries

Emmanuel Adu SarfoFirst author
Harold Tobias Adu-Twum
Philip Mensah
Michael Nti Ababio
Yejide Lamina
- Lagos State University (NG)
as printed: Dr Yejide Lamina
Yewande Iyimide AdeyeyeSenior author
as printed: Dr. Yewande Iyimide Adeyeye

Countries on it

United Kingdom
Nigeria
United States

Also on it

Dumfries and Galloway Royal Infirmaryhealthcare · GB
NHS Dumfries and Gallowayhealthcare · GB
University of Minnesotaeducation · US
University of Nebraska–Lincolneducation · US
Youngstown State Universityeducation · US

Fields

A work can sit in several, each with a score

Artificial Intelligence in HealthcareTopic