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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Detalles Bibliográficos
Autores principales: Luo, Gang, Stone, Bryan L, Koebnick, Corinna, He, Shan, Au, David H, Sheng, Xiaoming, Murtaugh, Maureen A, Sward, Katherine A, Schatz, Michael, Zeiger, Robert S, Davidson, Giana H, Nkoy, Flory L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6592592/
https://www.ncbi.nlm.nih.gov/pubmed/31199308
http://dx.doi.org/10.2196/13783

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6592592/
https://www.ncbi.nlm.nih.gov/pubmed/31199308
http://dx.doi.org/10.2196/13783

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