Identification by cluster analysis of patients with asthma and nasal symptoms using the MASK-air® mHealth app
Background The self-reporting of asthma frequently leads to patient misidentification in epidemiological studies. Strategies combining the triangulation of data sources may help to improve the identification of people with asthma. We aimed to combine information from the self-reporting of asthma, me...
| Published in: | Pulmonology |
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2023-07-01
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| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1016/j.pulmoe.2022.10.005 |
