Improved complexity stratification in congenital heart disease; the impact of including procedural data on accuracy and reliability

In order to manage a class of diseases as broad as congenital heart disease (CHD), multiple "manually generated" classification systems defining CHDs as mild, moderate and severe have been developed and used to good effect. As databases have grown, however, such "manual" complexity scoring has become infeasible. Though past attempts have been made to determine CHD complexity algorithmically using a list of diagnoses alone, missing data and lack of procedural information have been significant limitations.