Validity of laryngomalacia classification systems: A multi-institutional agreement study.

Shanmugappiriya Sivarajah Andre IsaacShelaina AndersonDeepak MehtaPaul HongYaser AlrajhiHamdy El-Hakim

Published in: Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery (2020)

The agreement on types of LM between expert observers is modest using the Holinger and Olney classifications. This has significant implications for accurately diagnosing LM and exposes potential obstacles against credible pooling of data and extrapolation of information.

Keyphrases

machine learning
electronic health record
big data
healthcare
health information
risk assessment
artificial intelligence
human health
data analysis