A Comparative Study of Various Machine Learning Techniques for Diagnosing Clinical Depression
Authors
Adegboye Adegboyega
Department of Computer Science, University of Benin, Benin City, Nigeria
Anthony Agboizebeta Imianvan
Department of Computer Science, University of Benin, Benin City, Nigeria
Language: English
Page range: 85 - 90
Submitted on: Jan 9, 2024
Accepted on: Jul 26, 2024
Published on: Aug 15, 2024
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year
Related subjects:
© 2024 Adegboye Adegboyega, Anthony Agboizebeta Imianvan, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.