Identification by cluster analysis of patients with asthma and nasal symptoms using the MASK-air® mHealth app

Autor: 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

Publikováno v: Pulmonology, Amsterdam : Elsevier, 2023, vol. 29, iss. 4, p. 292-305
Bousquet, J, Sousa-Pinto, B, Anto, J M, Amaral, R, Brussino, L, Canonica, G W, Cruz, A A, Gemicioglu, B, Haahtela, T, Kupczyk, M, Kvedariene, V, Larenas-Linnemann, D E, Louis, R, Pham-Thi, N, Puggioni, F, Regateiro, F S, Romantowski, J, Sastre, J, Scichilone, N, Taborda-Barata, L, Ventura, M T, Agache, I, Bedbrook, A, Bergmann, K C, Bosnic-Anticevich, S, Bonini, M, Boulet, L-P, Brusselle, G, Buhl, R, Cecchi, L, Charpin, D, Chaves-Loureiro, C, Czarlewski, W, de Blay, F, Devillier, P, Joos, G, Jutel, M, Klimek, L, Kuna, P, Laune, D, Pech, J L, Makela, M, Morais-Almeida, M, Nadif, R, Niedoszytko, M, Ohta, K, Papadopoulos, N G, Papi, A, Yeverino, D R, Roche, N, Sá-Sousa, A, Samolinski, B, Shamji, M H, Sheikh, A, Suppli Ulrik, C, Usmani, O S, Valiulis, A, Vandenplas, O, Yorgancioglu, A, Zuberbier, T & Fonseca, J A 2022, ' Identification by cluster analysis of patients with asthma and nasal symptoms using the MASK-air® mHealth app ', Pediatric Pulmonology . https://doi.org/10.1016/j.pulmoe.2022.10.005
Pulmonology, Vol. 29, no. 4, p. 292-305 (2022)

Data de publicació electrònica: 22-11-2022 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 identificat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3eaf4d6dfb6e0351e03a0939e30e9468
https://hdl.handle.net/11392/2517351

Longitudinal asymmetries of the coronal line intensities

Autor: Xanthakis, J. Mavromichalaki, H. Petropoulos, B. Tritakis, V.P. Marmatsuri, L. Vassilaki, A. Noens, J.C. Leroy, J.L. Pech, B.

The analysis of the daily measurements of the coronal green line intensity which have been collected by the Pic-du-Midi Observatory during the period 1944-1974 has directed to some very interesting results. The main finding of this analysis is a perm

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::386d6835feae93d587c2a06bcd46fb4f
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3019206