Blood-based machine learning classifiers for early diagnosis of gastric cancer via multiple miRNAs

doi:10.4251/wjgo.v17.i4.103679

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Apr 15, 2025 (publication date) through Mar 31, 2025

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World Journal of Gastrointestinal Oncology

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1948-5204

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

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World J Gastrointest Oncol. Apr 15, 2025; 17(4): 103679
Published online Apr 15, 2025. doi: 10.4251/wjgo.v17.i4.103679

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Figure 4 Important variables and receiver operating characteristic analysis of the six-microRNA artificial neural network model. A: Importance analysis of six risk-related miRNAs; B: Receiver operating characteristic (ROC) curve of cohort-3; C: ROC curve of cohort-4; D: ROC curve of cohort-5. AUC: Area under the curve.

Citation: Ma FC, Zhang GL, Chi BT, Tang YL, Peng W, Liu AQ, Chen G, Gao JB, Wei DM, Ge LY. Blood-based machine learning classifiers for early diagnosis of gastric cancer via multiple miRNAs. World J Gastrointest Oncol 2025; 17(4): 103679
URL: https://www.wjgnet.com/1948-5204/full/v17/i4/103679.htm
DOI: https://dx.doi.org/10.4251/wjgo.v17.i4.103679