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Using Temporal Features to Provide Data-Driven Clinical Early Warnings for Chronic Obstructive Pulmonary Disease and Asthma Care Management: Protocol for a Secondary Analysis
BACKGROUND: Both chronic obstructive pulmonary disease (COPD) and asthma incur heavy health care burdens. To support tailored preventive care for these 2 diseases, predictive modeling is widely used to give warnings and to identify patients for care management. However, 3 gaps exist in current model...
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| I publikationen: | JMIR Res Protoc |
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| Huvudupphovsmän: | , , , , , , , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
JMIR Publications
2019
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6592592/ https://ncbi.nlm.nih.gov/pubmed/31199308 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/13783 |
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