Intelligent system for chronic pancreatitis patient’s diabetes development prediction

The article presents the results of the application of JSM-method for automatic scientific researches support (JSM-method ASRS), which was realized in a computer intelligent system (IS), predicting chronic pancreatitis patients’ diabetes development. It was the first time, when JSM-method ASRS was applied to the sequence of embedded bases of facts, which was used for discovery empirical regularities (ERs) – preserving cause of exploring effect (chronic pancreatitis patients’ diabetes development). For recognition ERs in IS-JSM there was used algebraic lattice of JSM reasoning strategies (rules of inductive inference). The findings have informative clinical interpretation and they are an evidence of usefulness of intelligent data analyze by IS-JSM, which can be used as a tool for evidence based medicine.