Comparison and development of machine learning for thalidomide-induced peripheral neuropathy prediction of refractory Crohn’s disease in Chinese population

doi:10.3748/wjg.v29.i24.3855

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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. Jun 28, 2023; 29(24): 3855-3870
Published online Jun 28, 2023. doi: 10.3748/wjg.v29.i24.3855

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Figure 2 Information gain values of the features. The higher the information gain value, the more important the variable. Therefore, these five variables (rs1353248, dose, rs6265, rs2030324, rs11030104) are the optimal feature set.

Citation: Mao J, Chao K, Jiang FL, Ye XP, Yang T, Li P, Zhu X, Hu PJ, Zhou BJ, Huang M, Gao X, Wang XD. Comparison and development of machine learning for thalidomide-induced peripheral neuropathy prediction of refractory Crohn’s disease in Chinese population. World J Gastroenterol 2023; 29(24): 3855-3870
URL: https://www.wjgnet.com/1007-9327/full/v29/i24/3855.htm
DOI: https://dx.doi.org/10.3748/wjg.v29.i24.3855

Mao J, Chao K, Jiang FL, Ye XP, Yang T, Li P, Zhu X, Hu PJ, Zhou BJ, Huang M, Gao X, Wang XD. Comparison and development of machine learning for thalidomide-induced peripheral neuropathy prediction of refractory Crohn’s disease in Chinese population. World J Gastroenterol 2023; 29(24): 3855-3870 [PMID: 37426324 DOI: 10.3748/wjg.v29.i24.3855]

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