From prediction to prevention: Machine learning revolutionizes hepatocellular carcinoma recurrence monitoring

doi:10.3748/wjg.v30.i7.631

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Feb 21, 2024 (publication date) through Jul 2, 2024

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World Journal of Gastroenterology

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1007-9327

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

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World J Gastroenterol. Feb 21, 2024; 30(7): 631-635
Published online Feb 21, 2024. doi: 10.3748/wjg.v30.i7.631

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Figure 1 Summary of the study process. AFP: Alpha-fetoprotein; CT: Contrasted tomography; GLR: γ-glutamyl transferase-to-lymphocyte ratio; GMB: Complement NB; HCC: Hepatocellular carcinoma; MLP: Multilayer perceptron; MRI: Magnetic resonance imaging; PLT: Blood platelet; SVM: Support vector machine.

Citation: Ramírez-Mejía MM, Méndez-Sánchez N. From prediction to prevention: Machine learning revolutionizes hepatocellular carcinoma recurrence monitoring. World J Gastroenterol 2024; 30(7): 631-635
URL: https://www.wjgnet.com/1007-9327/full/v30/i7/631.htm
DOI: https://dx.doi.org/10.3748/wjg.v30.i7.631