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A novel multidisciplinary machine learning approach based on clinical, imaging, colonoscopy, and pathology features for distinguishing intestinal tuberculosis from Crohn’s disease

Crossref DOI link: https://doi.org/10.1007/s00261-024-04307-7

Published Online: 2024-05-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Lu, Baolan

Huang, Zengan

Lin, Jinjiang

Zhang, Ruonan

Shen, Xiaodi

Huang, Lili

Wang, Xinyue

He, Weitao

Huang, Qiapeng

Fang, Jiayu

Mao, Ren

Li, Zhoulei

Huang, Bingsheng

Feng, Shi-Ting

Ye, Ziying

Zhang, Jian

Wang, Yangdi
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (82070680, 82072002, 82270693, 82271958, 62371303)
License Information

Text and Data Mining valid from 2024-05-04

Version of Record valid from 2024-05-04
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Article History

Received: 1 November 2023

Revised: 19 March 2024

Accepted: 20 March 2024

First Online: 4 May 2024

Declarations

:

: All authors declare no competing interests.

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