Introduction Acute pancreatitis (AP) is a complex disease with multiple aetiological factors,
wide ranging severity, and multiple challenges to effective triage and management.
Databases, data mining and machine learning algorithms (MLAs), including artificial neural
networks (ANNs), may assist by storing and interpreting data from multiple sources,
potentially improving clinical decision-making. Aims 1) Identify database technologies used
to store AP data, 2) collate and categorise variables stored in AP databases, 3) identify the …