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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...

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Principais autores: J. Bousquet, B. Sousa-Pinto, J.M. Anto, R. Amaral, L. Brussino, G.W. Canonica, A.A. Cruz, B. Gemicioglu, T. Haahtela, M. Kupczyk, V. Kvedariene, D.E. Larenas-Linnemann, R. Louis, N. Pham-Thi, F. Puggioni, F.S. Regateiro, J. Romantowski, J. Sastre, N. Scichilone, L. Taborda-Barata, M.T. Ventura, I. Agache, A. Bedbrook, K.C. Bergmann, S. Bosnic-Anticevich, M. Bonini, L.-P. Boulet, G. Brusselle, R. Buhl, L. Cecchi, D. Charpin, C. Chaves-Loureiro, W. Czarlewski, F. de Blay, P. Devillier, G. Joos, M. Jutel, L. Klimek, P. Kuna, D. Laune, J.L. Pech, M. Makela, M. Morais-Almeida, R. Nadif, M. Niedoszytko, K. Ohta, N.G. Papadopoulos, A. Papi, D.R. Yeverino, N. Roche, A. Sá-Sousa, B. Samolinski, M.H. Shamji, A. Sheikh, C. Suppli Ulrik, O.S. Usmani, A. Valiulis, O. Vandenplas, A. Yorgancioglu, T. Zuberbier, J.A. Fonseca
Format: Artigo
Jezik:Inglês
Izdano: Taylor & Francis Group 2023-07-01
Serija:Pulmonology
Teme:
Asthma
Rhinitis
Cluster analysis
Treatment
Control
Online dostop:https://www.tandfonline.com/doi/10.1016/j.pulmoe.2022.10.005
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