FIDELITY: Fuzzy inferential diagnostic engine for on-LIne supporT to phYsicians

Abstract

A diagnostic engine for supporting physicians in analyzing symptoms and anamnesis of patients is proposed. The system uses fuzzy logic as the picklock to overcome difficulties typically encountered when dealing with a computer aided model for medical diagnosis, since the large number of parameters to be taken into account. The model in its current formulation allows physicians to have immediate diagnostic hypotheses considering patient's anamnesis, symptoms, drug administered and previously formulated diagnoses, simultaneously accessing available databases and suggesting new diagnostic examinations. An auto-adaptative fuzzy logic approach can be easily implemented, that could allow the model to progressively learn from each formulated diagnosis. © 2013 IFMBE.