Prediction of Urinary Tract Infection Using Machine Learning Algorithms

Author:

Adebiyi Marion O.1,Atanda Oladayo G.1,Blessing Praise1,Adebiyi Ayodele A.1,Akindeji Kayode2,Osang Francis B.3

Affiliation:

1. Landmark University,Department of Computer Science,Omu-Aran,Nigeria

2. Durban University of Technology,Smart Grid Research Centre,Department of Electrical Power Engineering,Durban,South Africa

3. National Open University of Nigeria,Department of Computer Science,Abuja,Nigeria

Publisher

IEEE

Reference13 articles.

1. An introduction to the epidemiology and burden of urinary tract infections

2. Healthcare predictive analytics using machine learning and deep learning techniques: a survey

3. Prediction of Anaemia among children using Machine Learning Algorithms;Anand;International Journal of Electronics Engineering,2019

4. Machine learning approaches to the detection of urinary tract infection;Taylor;Journal of Medical Internet Research,2018

5. Using artificial intelligence to reduce diagnostic workload without compromising detection of urinary tract infections

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