Detection of colorectal adenomas using artificial intelligence models in patients with chronic hepatitis C

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World Journal of Hepatology

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1948-5182

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

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World J Hepatol. Jan 27, 2023; 15(1): 107-115
Published online Jan 27, 2023. doi: 10.4254/wjh.v15.i1.107

Table 3 Machine learning models and their mean absolute error

ML model	Mean absolute error
Linear regression	1.072
LGBM regressor	1.106
XGBoost regressor	1.273
ElasticNet	0.941
Gradient boosting regressor	1.139
Support vector regressor	0.905

ML: Machine learning.

Citation: Singh Y, Gogtay M, Yekula A, Soni A, Mishra AK, Tripathi K, Abraham G. Detection of colorectal adenomas using artificial intelligence models in patients with chronic hepatitis C. World J Hepatol 2023; 15(1): 107-115
URL: https://www.wjgnet.com/1948-5182/full/v15/i1/107.htm
DOI: https://dx.doi.org/10.4254/wjh.v15.i1.107

Singh Y, Gogtay M, Yekula A, Soni A, Mishra AK, Tripathi K, Abraham G. Detection of colorectal adenomas using artificial intelligence models in patients with chronic hepatitis C. World J Hepatol 2023; 15(1): 107-115 [PMID: 36744168 DOI: 10.4254/wjh.v15.i1.107]

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