Chemical Threats Diagnosis Expert System (CTDES)

Abstract

Chemical threats in open war fields or terrorist attacks are a serious possibility. Chemical leakage, mass destruction weapons and terrorism attacks are some sources of exposure to chemical agents. If a treatment procedure is implemented soon enough to patients exposed to chemical agents, the number of victims will certainly be reduced. Therefore, the need of an available expert who can diagnose the chemical agent and provides the proper treatment is of a paramount necessity. However, there is a lack for such experts. In this paper we introduce a rule-based expert system that diagnoses the patients and provides a decision mechanism to determine which chemical agent the patient has been exposed to. According to our knowledge, no expert system has been developed for this problem. We will demonstrate the characteristics and side effects of different types of chemical agents and we will choose the important and appropriate set of signs and side effects that construct our decision tree in order to build our knowledge base and inference rules. The CLIPS expert system is used to develop the knowledge-based system. We believe that the proposed expert system would provide a good assistant to medical teams especially in critical periods of time.

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“…Another study had extracted rules from the decision tree by designing an expert system that was used to diagnose neurological diseases ( 10 ). Other studies had extracted rules by a two step decision tree of training and testing ( 11 - 16 ) or had used the decision tree to extract the rules that were used to design neural networks and estimate the risk of preeclampsia with an accuracy of 83.6% in the training phase and 93.8% in the testing phase ( 17 ). The methods used in these studies are in line with the methodology used in the current study.…”