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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Bibliographic Details
Published in:Pulmonology
Main Authors: 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: Article
Language:English
Published: Taylor & Francis Group 2023-07-01
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Online Access:https://www.tandfonline.com/doi/10.1016/j.pulmoe.2022.10.005