Harmonization of Physiological Data in Neurocritical Care: Challenges and a Path Forward

被引：8
|
作者：
Moberg, Richard [1 ]
Moyer, Ethan Jacob [2 ]
Olson, DaiWai [3 ]
Rosenthal, Eric [4 ]
Foreman, Brandon [5 ]
机构：
[1] Moberg Analyt Inc, Philadelphia, PA 19107 USA
[2] Drexel Univ, Philadelphia, PA 19104 USA
[3] Univ Texas Southwestern Med Ctr Dallas, Dallas, TX 75390 USA
[4] Massachusetts Gen Hosp, Dept Neurol, Boston, MA 02114 USA
[5] Univ Cincinnati, Cincinnati, OH USA
来源：
NEUROCRITICAL CARE | 2022年 / 37卷 / SUPPL 2期
关键词：
Big data; Critical care; Data annotation; Informatics; Physiologic monitoring; Standards; BRAIN; PRESSURE;
D O I：
10.1007/s12028-022-01524-0
中图分类号：
R4 [临床医学];
学科分类号：
1002 ; 100602 ;
摘要：
Continuous multimodal monitoring in neurocritical care provides valuable insights into the dynamics of the injured brain. Unfortunately, the "readiness" of this data for robust artificial intelligence (AI) and machine learning (ML) applications is low and presents a significant barrier for advancement. Harmonization standards and tools to implement those standards are key to overcoming existing barriers. Consensus in our professional community is essential for success.
引用
收藏
页码：202 / 205
页数：4
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