Machine learning predicts portal vein thrombosis after splenectomy in patients with portal hypertension: Comparative analysis of three practical models

doi:10.3748/wjg.v28.i32.4681

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Aug 28, 2022 (publication date) through Nov 1, 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. Aug 28, 2022; 28(32): 4681-4697
Published online Aug 28, 2022. doi: 10.3748/wjg.v28.i32.4681

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Figure 4 Clinical impact curves of the postoperative platelet elevation rate-based models in the training cohort and validation cohort. A and D: Clinical impact curves for the generalized linear model; B and E: Clinical impact curves for the least absolute shrinkage and selection operator model; C and F: Clinical impact curves for the random forest model.

Citation: Li J, Wu QQ, Zhu RH, Lv X, Wang WQ, Wang JL, Liang BY, Huang ZY, Zhang EL. Machine learning predicts portal vein thrombosis after splenectomy in patients with portal hypertension: Comparative analysis of three practical models. World J Gastroenterol 2022; 28(32): 4681-4697
URL: https://www.wjgnet.com/1007-9327/full/v28/i32/4681.htm
DOI: https://dx.doi.org/10.3748/wjg.v28.i32.4681