Copyright
©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Crit Care Med. Sep 9, 2022; 11(5): 311-316
Published online Sep 9, 2022. doi: 10.5492/wjccm.v11.i5.311
Published online Sep 9, 2022. doi: 10.5492/wjccm.v11.i5.311
Data science in the intensive care unit
Ming-Hao Luo, Dan-Lei Huang, Shanghai Medical College, Fudan University, Shanghai 200032, China
Jing-Chao Luo, Ying Su, Jia-Kun Li, Guo-Wei Tu, Zhe Luo, Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China
Author contributions: Luo MH drafted the manuscript; Tu GW and Luo Z substantively revised it; All authors participated in the conception and design of the work.
Conflict-of-interest statement: All authors have no conflicts of interest to declare.
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: Zhe Luo, MD, PhD, Chief Doctor, Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Shanghai 200032, China. luo.zhe@zs-hospital.sh.cn
Received: April 11, 2022
Peer-review started: April 11, 2022
First decision: April 28, 2022
Revised: May 3, 2022
Accepted: July 16, 2022
Article in press: July 16, 2022
Published online: September 9, 2022
Processing time: 148 Days and 22.3 Hours
Peer-review started: April 11, 2022
First decision: April 28, 2022
Revised: May 3, 2022
Accepted: July 16, 2022
Article in press: July 16, 2022
Published online: September 9, 2022
Processing time: 148 Days and 22.3 Hours
Core Tip
Core Tip: Data in intensive care units (ICUs) can be classified into qualitative and quantitative data with different technologies needed to translate and interpret them. Data science, in the form of artificial intelligence (AI), should find the right interaction between physicians, data and algorithm to maximize the utility. AI deployment in the ICUs should be emphasized more to facilitate AI development. Individual-level applications such as disease prediction, and ICU-level potentials such as resource allocation are both of paramount importance.