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Scandinavian Journal of Gastroenterology Volume 56, 2021 - Issue 9
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Original Article

A random forest model predicts responses to infliximab in Crohn’s disease based on clinical and serological parameters

Yong Lia Department of Gastroenterology, Xiangya Hospital, Central South University, Changsha, ChinaORCID Iconhttps://orcid.org/0000-0001-8919-921XView further author information
ORCID Icon,
Jianfeng Pana Department of Gastroenterology, Xiangya Hospital, Central South University, Changsha, ChinaORCID Iconhttps://orcid.org/0000-0002-8044-647XView further author information
ORCID Icon,
Nan Zhoua Department of Gastroenterology, Xiangya Hospital, Central South University, Changsha, ChinaView further author information
,
Dongni Fua Department of Gastroenterology, Xiangya Hospital, Central South University, Changsha, ChinaView further author information
,
Guanghui Liana Department of Gastroenterology, Xiangya Hospital, Central South University, Changsha, ChinaView further author information
,
Jun Yia Department of Gastroenterology, Xiangya Hospital, Central South University, Changsha, ChinaView further author information
,
Yu Penga Department of Gastroenterology, Xiangya Hospital, Central South University, Changsha, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-6953-7816View further author information
ORCID Icon &
Xiaowei Liua Department of Gastroenterology, Xiangya Hospital, Central South University, Changsha, China;b Hunan International Scientific and Technological Cooperation Base of Artificial Intelligence Computer Aided Diagnosis and Treatment for Digestive Disease, Xiangya Hospital, Central South University, Changsha, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-1193-4277View further author information
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Pages 1030-1039 | Received 02 Feb 2021, Accepted 31 May 2021, Published online: 24 Jul 2021

Citations (7)

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Ziheng Peng, Duo Xu, Yong Li, Xiaowei Liu, Fujun Li & Yu Peng. (2023) A novel role of prognostic nutritional index in predicting the effectiveness of infliximab in Crohn's disease. Annals of Medicine 55:1.
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Joseph C. Ahn & Vijay H. Shah. 2024. Artificial Intelligence in Clinical Practice. Artificial Intelligence in Clinical Practice 443 464 .
Leonardo Da Rio, Marco Spadaccini, Tommaso Lorenzo Parigi, Roberto Gabbiadini, Arianna Dal Buono, Anita Busacca, Roberta Maselli, Alessandro Fugazza, Matteo Colombo, Silvia Carrara, Gianluca Franchellucci, Ludovico Alfarone, Antonio Facciorusso, Cesare Hassan, Alessandro Repici & Alessandro Armuzzi. (2023) Artificial intelligence and inflammatory bowel disease: Where are we going?. World Journal of Gastroenterology 29:3, pages 508-520.
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Xuyun Zhang. (2022) A Gaussian High-Dimensional Random Matrix-Based Method for Detecting Abnormal Student Behaviour in Chinese Language Classrooms. Mathematical Problems in Engineering 2022, pages 1-12.
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Rowland W. Pettit, Robert FullemChao ChengChristopher I. Amos. (2021) Artificial intelligence, machine learning, and deep learning for clinical outcome prediction. Emerging Topics in Life Sciences 5:6, pages 729-745.
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Kamila Majidova, Julia Handfield, Kamran Kafi, Ryan D. Martin & Ryszard Kubinski. (2021) Role of Digital Health and Artificial Intelligence in Inflammatory Bowel Disease: A Scoping Review. Genes 12:10, pages 1465.
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