Comprehensive review of Bayesian network applications in gastrointestinal cancers

doi:10.5306/wjco.v16.i6.104299

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Jun 24, 2025 (publication date) through Jun 20, 2025

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World Journal of Clinical Oncology

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2218-4333

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Clin Oncol. Jun 24, 2025; 16(6): 104299
Published online Jun 24, 2025. doi: 10.5306/wjco.v16.i6.104299

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Figure 2 Classification of algorithms related to Bayesian network structure learning. DAG: Directed acyclic graph; PC: Peter and Clark; ACOG: Ancestral constrained order graph; BDeu: Bayesian Drichlet equivalent uniform; BIC: Bayesian information criterion; MDL: Minimum description length; GS: Greedy search; OBS: Ordering-based search; BiHS: Bidirectional heuristic search; ILP: Integer linear programming; MMHC: Max-Min Hill-Climbing; MMPC: Max-Min Parent and Children; DP: Dynamic programming; AWA*: Anytime Window A* algorithm; MCMC: Markov Chain Monte Carlo; SEM: Structural expectation-maximization.

Citation: Zhang MN, Xue MJ, Zhou BZ, Xu J, Sun HK, Wang JH, Wang YY. Comprehensive review of Bayesian network applications in gastrointestinal cancers. World J Clin Oncol 2025; 16(6): 104299
URL: https://www.wjgnet.com/2218-4333/full/v16/i6/104299.htm
DOI: https://dx.doi.org/10.5306/wjco.v16.i6.104299