<scp>EAACI</scp>
            guidelines on environmental science in allergic diseases and asthma – Leveraging artificial intelligence and machine learning to develop a causality model in exposomics

Titel:: EAACI guidelines on environmental science in allergic diseases and asthma – Leveraging artificial intelligence and machine learning to develop a causality model in exposomics
Dokumenttyp:: Zeitschriftenaufsatz
Autor(en):: Shamji, Mohamed H.; Ollert, Markus; Adcock, Ian M.; Bennett, Oscar; Favaro, Alberto; Sarama, Roudin; Riggioni, Carmen; Annesi‐Maesano, Isabella; Custovic, Adnan; Fontanella, Sara; Traidl‐Hoffmann, Claudia; Nadeau, Kari; Cecchi, Lorenzo; Zemelka‐Wiacek, Magdalena; Akdis, Cezmi A.; Jutel, Marek; Agache, Ioana
Zeitschriftentitel:: Allergy
Jahr:: 2023
Volltext / DOI:: doi:10.1111/all.15667
Verlag / Institution:: Wiley
E-ISSN:: 0105-45381398-9995
Publikationsdatum:: 15.02.2023
BibTeX

Vorkommen:

EAACI guidelines on environmental science in allergic diseases and asthma – Leveraging artificial intelligence and machine learning to develop a causality model in exposomics