Procedure prediction from symbolic Electronic Health Records via time intervals analytics.

•A framework for procedures prediction from symbolic Electronic Health Records data.•Using frequent time intervals related patterns of conditions, procedures and drug-exposers.•Using temporal patterns as predictors was better than using the concepts as predictors.•The use of three abstract temporal relations performed better than Allen’s seven relations.•Using vertically normalized horizontal support was superior for the temporal patterns representation.