- Title
- Simulating Uncertainty of Early Warning Scores in Sepsis Detection
- Creators
- Ali Jazayeri - Drexel UniversityMuge Capan - Drexel UniversityChristopher Yang - Drexel UniversitySiddhartha Nambiar - North Carolina State UniversityMaria Mayorga - North Carolina State UniversityJulie Ivy - North Carolina State UniversityRyan Arnold - Drexel UniversityASSOC COMP MACHINERY
- Publication Details
- ACM-BCB'19: PROCEEDINGS OF THE 10TH ACM INTERNATIONAL CONFERENCE ON BIOINFORMATICS, COMPUTATIONAL BIOLOGY AND HEALTH INFORMATICS, pp 543-543
- Publisher
- Assoc Computing Machinery
- Number of pages
- 1
- Grant note
- NSF-1741306; IIS-1650531; DIBBs-1443019 / National Science Foundation; National Science Foundation (NSF) 1R01LM012300-01A1; R01LM012300 / National Library of Medicine of the National Institutes of Health; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Library of Medicine (NLM) 1833538 / National Science Foundation Smart and Connected Health
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science; Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:000722622700078
- Other Identifier
- 991019167728304721
Conference proceeding
Simulating Uncertainty of Early Warning Scores in Sepsis Detection
ACM-BCB'19: PROCEEDINGS OF THE 10TH ACM INTERNATIONAL CONFERENCE ON BIOINFORMATICS, COMPUTATIONAL BIOLOGY AND HEALTH INFORMATICS, pp 543-543
01 Jan 2019
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Mathematical & Computational Biology
- Medical Informatics