Charalampogiannis, Nikolaos and Quintero, Marena Vitola and Poulios, Efthymios and Achinas, Spyridon (2025) Harnessing Bayesian networks in cancer management: A perspective. World Journal of Advanced Research and Reviews, 26 (2). pp. 109-114. ISSN 2581-9615
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WJARR-2025-1580.pdf - Published Version
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Abstract
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.
Item Type: | Article |
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Official URL: | https://doi.org/10.30574/wjarr.2025.26.2.1580 |
Uncontrolled Keywords: | Bayesian Networks; Cancer therapeutics; Prognosis; Diagnosis |
Depositing User: | Editor WJARR |
Date Deposited: | 25 Jul 2025 16:06 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/2461 |