A framework for expert-driven subpopulation discovery and evaluation using subspace clustering for epidemiological data.

•Framework for knowledge discovery, model inspection and model validation.•Model learning is automated and self-tuned.•Semi-supervised selection of variables with minimal information from the expert.•Mechanisms to inspect and validate models on independent cohort data.•Investigation of the framework’s potential on outcomes hepatic steatosis and goiter.