A modular approach to integrating multiple data sources into real-time clinical prediction for pediatric diarrhea Article Swipe
Ben J. Brintz
,
Benjamin Haaland
,
Joel Howard
,
Dennis L. Chao
,
Joshua L. Proctor
,
Ashraful Islam Khan
,
Sharia M. Ahmed
,
Lindsay T. Keegan
,
Tom Greene
,
Adama Mamby Keita
,
Karen L. Kotloff
,
James A Platts-Mills
,
Eric J. Nelson
,
Adam C. Levine
,
Andrew T. Pavia
,
Daniel T. Leung
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.7554/elife.63009
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.7554/elife.63009
Traditional clinical prediction models focus on parameters of the individual patient. For infectious diseases, sources external to the patient, including characteristics of prior patients and seasonal factors, may improve predictive performance. We describe the development of a predictive model that integrates multiple sources of data in a principled statistical framework using a post-test odds formulation. Our method enables electronic real-time updating and flexibility, such that components can be included or excluded according to data availability. We apply this method to the prediction of etiology of pediatric diarrhea, where 'pre-test’ epidemiologic data may be highly informative. Diarrhea has a high burden in low-resource settings, and antibiotics are often over-prescribed. We demonstrate that our integrative method outperforms traditional prediction in accurately identifying cases with a viral etiology, and show that its clinical application, especially when used with an additional diagnostic test, could result in a 61% reduction in inappropriately prescribed antibiotics.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.7554/elife.63009
- OA Status
- gold
- Cited By
- 10
- References
- 36
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3126854430
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3126854430Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.7554/elife.63009Digital Object Identifier
- Title
-
A modular approach to integrating multiple data sources into real-time clinical prediction for pediatric diarrheaWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-01-28Full publication date if available
- Authors
-
Ben J. Brintz, Benjamin Haaland, Joel Howard, Dennis L. Chao, Joshua L. Proctor, Ashraful Islam Khan, Sharia M. Ahmed, Lindsay T. Keegan, Tom Greene, Adama Mamby Keita, Karen L. Kotloff, James A Platts-Mills, Eric J. Nelson, Adam C. Levine, Andrew T. Pavia, Daniel T. LeungList of authors in order
- Landing page
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https://doi.org/10.7554/elife.63009Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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-
https://doi.org/10.7554/elife.63009Direct OA link when available
- Concepts
-
Diarrhea, Computer science, Flexibility (engineering), Etiology, Predictive modelling, Machine learning, Modular design, Test (biology), Odds, Medicine, Artificial intelligence, Intensive care medicine, Logistic regression, Statistics, Pathology, Operating system, Paleontology, Mathematics, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
10Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 1, 2023: 3, 2022: 3, 2021: 2Per-year citation counts (last 5 years)
- References (count)
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36Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| publication_date | 2021-01-28 |
| publication_year | 2021 |
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