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.
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Papageorgiou, E.I., Papandrianos, N., Karagianni, G., Kyriazopoulos, G., Sfyras, D. (2009). Fuzzy Cognitive Map Based Approach for Assessing Pulmonary Infections. In: Rauch, J., Raś, Z.W., Berka, P., Elomaa, T. (eds) Foundations of Intelligent Systems. ISMIS 2009. Lecture Notes in Computer Science(), vol 5722. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04125-9_14
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DOI: https://doi.org/10.1007/978-3-642-04125-9_14
Publisher Name: Springer, Berlin, Heidelberg
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