z-logo
open-access-imgOpen Access
A comparative analysis of haemoglobin variants using machine learning algorithms
Author(s) -
A. A. Okandeji,
O. F. Odeyinka,
A. A. Sogbesan,
N. O. Ogunye
Publication year - 2022
Publication title -
nigerian journal of technology
Language(s) - English
Resource type - Journals
eISSN - 2467-8821
pISSN - 0331-8443
DOI - 10.4314/njt.v41i4.16
Subject(s) - support vector machine , machine learning , artificial intelligence , naive bayes classifier , decision tree , random forest , precision and recall , computer science , algorithm , categorization , medicine

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom