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Original Articles

Development and validation of a nomogram for early assessment the severity of acute pancreatitis

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Pages 990-995 | Received 09 Jan 2022, Accepted 02 Mar 2022, Published online: 11 Mar 2022

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You Zhou, Fei Han, Xiao-Lei Shi, Jun-Xian Zhang, Guang-Yao Li, Chen-Chen Yuan, Guo-Tao Lu, Liang-Hao Hu, Jia-Jia Pan, Wei-Ming Xiao & Guang-Huai Yao. (2022) Prediction of the severity of acute pancreatitis using machine learning models. Postgraduate Medicine 134:7, pages 703-710.
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Articles from other publishers (3)

Rui Qian, Jiamei Zhuang, Jianjun Xie, Honghui Cheng, Haiya Ou, Xiang Lu & Zichen Ouyang. (2024) Predictive value of machine learning for the severity of acute pancreatitis: A systematic review and meta-analysis. Heliyon 10:8, pages e29603.
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C.-P. Liu, Z. Chen, G. Wu & D.-Q. Zhang. (2024) Quantitative CT features on admission combined with laboratory biomarkers for predicting severe acute pancreatitis. Clinical Radiology 79:2, pages e256-e263.
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Zhu Luo, Jialin Shi, Yangyang Fang, Shunjie Pei, Yutian Lu, Ruxia Zhang, Xin Ye, Wenxing Wang, Mengtian Li, Xiangjun Li, Mengyue Zhang, Guangxin Xiang, Zhifang Pan & Xiaoqun Zheng. (2023) Development and evaluation of machine learning models and nomogram for the prediction of severe acute pancreatitis. Journal of Gastroenterology and Hepatology 38:3, pages 468-475.
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