Harnessing Bayesian networks in cancer management: A perspective

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-31
DOI
https://doi.org/10.5281/zenodo.17286485
Primary Topic
Bacterial Identification and Susceptibility Testing
Type
article
Field-Weighted Citation Impact
0.00
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article

Harnessing Bayesian networks in cancer management: A perspective

Zenodo (CERN European Organization for Nuclear Research)
Bacterial Identification and Susceptibility Testing
article

Harnessing Bayesian networks in cancer management: A perspective

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Corporación Universitaria Rafael Nuñez (CO)
Openalex Percentile: Top 35%
Bacterial Identification and Susceptibility Testing
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Harnessing Bayesian networks in cancer management: A perspective · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS