Communicating exploratory unsupervised machine learning analysis in age clustering for paediatric disease.

Unsupervised ML applied to EHR data identifies clinically relevant age distributions of diagnoses which can augment existing decision making. However, biases within healthcare datasets dramatically impact results if not appropriately mitigated or communicated.