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©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
Artif Intell Gastroenterol. Jun 8, 2023; 4(1): 1-9
Published online Jun 8, 2023. doi: 10.35712/aig.v4.i1.1
Published online Jun 8, 2023. doi: 10.35712/aig.v4.i1.1
Big data and variceal rebleeding prediction in cirrhosis patients
Quan Yuan, Department of Gastroenterology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400042, China
Wen-Long Zhao, College of Medical Informatics, Chongqing Medical University, Chongqing 400016, China
Wen-Long Zhao, Medical Data Science Academy, Chongqing 400016, China
Wen-Long Zhao, Chongqing Engineering Research Centre for Clinical Big-data and Drug Evaluation, Chongqing 400016, China
Bo Qin, Department of Infectious Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400042, China
Author contributions: Yuan Q selected the topic and performed the majority of conception, writing, and revision of the manuscript; Zhao WL provided think tank, platform with regard to big data, site for academic discussion, and revision suggestions for the manuscript; Qin B provided administrative help and was the instigator and coordinator of the study; All authors have read and approved the final manuscript.
Conflict-of-interest statement: All the authors declare that they have no conflicts of interest.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Bo Qin, MD, Professor, Department of Infectious Diseases, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing 400042, China. qinbo@cqmu.edu.cn
Received: January 8, 2023
Peer-review started: January 8, 2023
First decision: January 21, 2023
Revised: February 3, 2023
Accepted: March 10, 2023
Article in press: March 10, 2023
Published online: June 8, 2023
Processing time: 149 Days and 15.4 Hours
Peer-review started: January 8, 2023
First decision: January 21, 2023
Revised: February 3, 2023
Accepted: March 10, 2023
Article in press: March 10, 2023
Published online: June 8, 2023
Processing time: 149 Days and 15.4 Hours
Core Tip
Core Tip: Big data have been applied in many fields including finance, traffic control, logistics, healthcare, and environmental protection. Modeling is an efficient method for completing various tasks, and verification of its validity is vital for ensuring high-quality operation and yielding satisfactory results. Predictor screening guarantees the establishment of a practical, convenient, and favorable model for prognosis prediction. Utilizing a regression model trained with numerous data mined from big data acquired from real-world hospitals is helpful for informing disease or status onset and its prognosis such as in variceal rebleeding, which is one of the leading causes of death in cirrhosis patients.