Home
World Journal of Advanced Research and Reviews
International Journal with High Impact Factor for fast publication of Research and Review articles

Main navigation

  • Home
    • Journal Information
    • Editorial Board Members
    • Reviewer Panel
    • Abstracting and Indexing
    • Journal Policies
    • Our CrossMark Policy
    • Publication Ethics
    • Issue in Progress
    • Current Issue
    • Past Issues
    • Instructions for Authors
    • Article processing fee
    • Track Manuscript Status
    • Get Publication Certificate
    • Join Editorial Board
    • Join Reviewer Panel
  • Contact us
  • Downloads

eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Harnessing Bayesian networks in cancer management: A perspective

Breadcrumb

  • Home
  • Harnessing Bayesian networks in cancer management: A perspective

Nikolaos Charalampogiannis 1, Marena Vitola Quintero 2, Efthymios Poulios 3 and Spyridon Achinas 4, *  

1 Department of Urology, SLK Kliniken am Gesundbrunnen, Heilbronn, Germany.

2 Faculty of Engineering, Rafael Núñez University Corporation, Cartagena, Colombia.

3 14th Department of Surgery, Attikon University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.

4Drenthe, The Netherlands.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(02), 109-114

Article DOI: 10.30574/wjarr.2025.26.2.1580

DOI url: https://doi.org/10.30574/wjarr.2025.26.2.1580

Received on 23 March 2025; revised on 28 April 2025; accepted on 01 May 2025

Machine learning is breaking into medicine and healthcare supporting the prognosis, diagnosis and treatment selection for a wide variety of malignancies. Bayesian Networks, a sub element of Machine Learning, has potency to support clinicians and oncologists in cancer management. In this article, we discussed aspects and potential of Bayesian Networks in cancer therapeutics and this perspective is informative for medical doctors as well as bio-informaticians, AI engineers, and data analysts.

Bayesian Networks; Cancer therapeutics; Prognosis; Diagnosis

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1580.pdf

Preview Article PDF

Nikolaos Charalampogiannis, Marena Vitola Quintero, Efthymios Poulios and Spyridon Achinas. Harnessing Bayesian networks in cancer management: A perspective. World Journal of Advanced Research and Reviews, 2025, 26(2), 109-114. Article DOI: https://doi.org/10.30574/wjarr.2025.26.2.1580

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.

All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

Get Certificates

Get Publication Certificate

Download LoA

Check Corssref DOI details

Issue details

Issue Cover Page

Editorial Board

Table of content

Copyright © 2026 World Journal of Advanced Research and Reviews - All rights reserved

Developed & Designed by VS Infosolution