Predicting Treatment Outcomes Using Explainable Machine Learning in Children with Asthma

• Hauptverfasser: Mario Lovrić (Verfasst von), Ivana Banić (Verfasst von), Emanuel Lacić (Verfasst von), Kristina Pavlović (Verfasst von), Roman Kern (Verfasst von), Mirjana Turkalj (Verfasst von)
• Format: Buch
• Veröffentlicht: MDPI AG, 2021-05-01T00:00:00Z.
• Schlagworte: article
• Online-Zugang: Connect to this object online.

Asthma in children is a heterogeneous disease manifested by various phenotypes and endotypes. The level of disease control, as well as the effectiveness of anti-inflammatory treatment, is variable and inadequate in a significant portion of patients. By applying machine learning algorithms, we aimed...