Allergic rhinitis passive detection, assessment, and monitoring using artificial intelligence of things (AIoT) and crowdsensing

• Κύριος συγγραφέας: Τζαμαλής, Παντελής
• Άλλοι συγγραφείς: Tzamalis, Pantelis
• Γλώσσα: English
• Έκδοση: 2022
• Θέματα: Artificial intelligence; Machine learning; Activity recognition; Allergic rhinitis; Explainable AI; Trustworthy ML; Τεχνητή νοημοσύνη; Μηχανική μάθηση; Αναγνώριση κίνησης; Αλλεργική ρινίτιδα

Allergy-related respiratory diseases, such as asthma and rhinitis that coexist with the term respiratory allergy, are a major and growing public health problem in Greece and worldwide. Today, 70 million Europeans suffer from chronic asthma and 100 million from allergic rhinitis. Among them, a signif...