Profiling Disease and Economic Burden in CRSwNP Using Machine Learning.

Neil Bhattacharyya Jared SilverMichael BogartKalé Kponee-ShoveinWendy Y ChengMu ChengHoi Ching Cheung Mei Sheng Duh Beth Hahn

Published in: Journal of asthma and allergy (2022)

Substantial heterogeneity exists in clinical and economic burden among patients with CRSwNP. Machine learning offers a novel approach to better understand the diverse, complex burden of illness in CRSwNP.

Keyphrases

machine learning
single cell

artificial intelligence
big data

risk factors

deep learning