Expert systems: artificial intelligence in business
Expert systems: artificial intelligence in business
Building expert systems
Knowledge coding methods for rule-based expert systems
WSEAS Transactions on Information Science and Applications
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In this paper we present the prototype of the Expert System for the Preeclampsia Prevention Program (ESPPP), a ruled-based medical expert system that supports diagnostic and therapeutic decisions in the realm of hypertensive disorders of pregnancy (HDP) and that could be used for training physicians and for guiding them to accurately perform all the activities of a public health program ("Preeclampsia Prevention Program"). ESPPP applies pragmatic criteria for diagnosing, classifying and suggesting the appropriate treatment of the HDP and their complications. This system guides the user for collecting patient information easily, and based on those items that leads to the possible diagnose and treatment for that patient. ESPPP has been developed for the Preeclampsia Prevention Program to be used by all physician that assist pregnant women in Mérida, Venezuela. ESPPP will be carefully evaluated and, if proven effective and accurate, it will be presented to practitioners a new tool for delivering high-quality, standard and individually adapted health care.