Predicting Treatment Outcomes Using Explainable Machine Learning in Children with Asthma

• Main Authors: Mario Lovrić (Author), Ivana Banić (Author), Emanuel Lacić (Author), Kristina Pavlović (Author), Roman Kern (Author), Mirjana Turkalj (Author)
• Format: Book
• Published: MDPI AG, 2021-05-01T00:00:00Z.
• Subjects: article
• Online Access: 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...