Journal article
Harmonization of Physiological Data in Neurocritical Care: Challenges and a Path Forward
NEUROCRITICAL CARE, v 37(SUPPL 2), p202
Aug 2022
PMID: 35641807
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
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.
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Details
- Title
- Harmonization of Physiological Data in Neurocritical Care: Challenges and a Path Forward
- Publication Details
- NEUROCRITICAL CARE, v 37(SUPPL 2), p202
- Publisher
- HUMANA PRESS INC; TOTOWA
- Grant note
- Supported by the US Army (W81XWH1920013 to Moberg Analytics, Inc.; Richard Moberg, principal investigator).
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Drexel University
- Web of Science ID
- WOS:000803793600004
- Scopus ID
- 2-s2.0-85131195475
- Other Identifier
- 991021861289204721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Clinical Neurology
- Critical Care Medicine