Fuzzy Cognitive Map Based Approach for Assessing Pulmonary Infections

Authors:
Elpiniki I. Papageorgiou;Nikolaos Papandrianos;Georgia Karagianni;G. Kyriazopoulos;D. Sfyras
Affiliations:
Department of Informatics & Computer Technology, Technological Educational Institute of Lamia, Lamia, Greece 35100;Department of Nuclear Medicine, University General Hospital of Patras, Patras, Greece 26500;Department of Intensive Care Unit, Lamia General Hospital, Lamia, Greece 35100;Department of Intensive Care Unit, Lamia General Hospital, Lamia, Greece 35100;Department of Intensive Care Unit, Lamia General Hospital, Lamia, Greece 35100
Venue:
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Year:
2009

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Abstract

The decision making problem of predicting infectious diseases is a complex process, because of the numerous elements/parameters (such as symptoms, signs, physical examination, laboratory tests, cultures, chest x-rays, e.t.c.) involved in its operation, and a permanent attention is demanded. The knowledge of physicians according to the physical examination and clinical measurements is the main point to succeed a diagnosis and monitor patient status. In this paper, the Fuzzy Cognitive Mapping approach is investigating to handle with the problem of pulmonary infections during the patient admission into the hospital or in Intensive Care Unit (ICU). This is the first step in the development of a decision support system for the process of infectious diseases prediction.