Publication Name	World Journal of Gastroenterology
Manuscript ID	77119
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Retrospective Study
Article Title	Machine-learning predicts portal vein thrombosis after splenectomy in patients with portal hypertension: Comparative analysis of three practical models
Manuscript Source	Unsolicited Manuscript
All Author List	Jian Li, Qi-Qi Wu, Rong-Hua Zhu, Xing Lv, Wen-Qiang Wang, Jin-Lin Wang, Bin-Yong Liang, Zhi-Yong Huang and Er-Lei Zhang
Funding Agency and Grant Number	Funding Agency Grant Number National Natural Science Foundation of China 81902839 Hubei Provincial Special Grants for Scientific and Technical Innovation 2021BCA115
Corresponding Author	Er-Lei Zhang, MD, Doctor, Department of Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan 430030, Hubei Province, China. baiyu19861104@163.com
Key Words	Portal hypertension; Splenectomy; Portal vein thrombosis; Postoperative platelet elevation rate; Practical model; Machine learning
Core Tip	For patients with portal hypertension related to hepatitis B virus, postoperative platelet elevation rate (PPER) was an important predictor for the formation of portal vein thrombosis (PVT) after splenectomy. This study was the first to construct PPER-based practical models for predicting PVT, which would be helpful for clinicians to recognize individuals at high risk of PVT as soon as possible.
Citation	Li J, Wu QQ, Zhu RH, Lv X, Wang WQ, Wang JL, Liang BY, Huang ZY, Zhang EL. Machine-learning predicts portal vein thrombosis after splenectomy in patients with portal hypertension: Comparative analysis of three practical models. World J Gastroenterol 2022; 28(32): 4681-4697

Received	2022-04-16 05:20
Peer-Review Started	2022-04-16 05:22
To Make the First Decision
Return for Revision	2022-05-12 01:47
Revised	2022-05-25 10:46
Second Decision	2022-07-29 02:49
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2022-08-01 03:17
Articles in Press	2022-08-01 03:17
Publication Fee Transferred
Edit the Manuscript by Language Editor	2022-07-25 10:54
Typeset the Manuscript	2022-08-18 08:49

ISSN	1007-9327 (print) and 2219-2840 (online)
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