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مقاله Application of CLIPS Expert System in Polyuria Diagnosis تحت word دارای 6 صفحه می باشد و دارای تنظیمات در microsoft word می باشد و آماده پرینت یا چاپ است

فایل ورد مقاله Application of CLIPS Expert System in Polyuria Diagnosis تحت word کاملا فرمت بندی و تنظیم شده در استاندارد دانشگاه و مراکز دولتی می باشد.

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توجه : در صورت  مشاهده  بهم ریختگی احتمالی در متون زیر ،دلیل ان کپی کردن این مطالب از داخل فایل ورد می باشد و در فایل اصلی مقاله Application of CLIPS Expert System in Polyuria Diagnosis تحت word ،به هیچ وجه بهم ریختگی وجود ندارد

بخشی از متن مقاله Application of CLIPS Expert System in Polyuria Diagnosis تحت word :

سال انتشار: 1391

محل انتشار: همایش ملی علوم و مهندسی کامپیوتر

تعداد صفحات: 6

چکیده:

An expert system is a computer application that simulates the reasoning skill and performance of a human or an organization that has expert knowledge and experience in a specific area. Classically, such a system covers a knowledge base containing gathered experience and a list of rules for applying the knowledge base to each certain situation that is defined to the program. Usual expert systems can be improved with additions to the knowledge base or to the set of rules.Considering the ability of expert systems and their advantages compare to humans experts for such reasons that human experts may not be available everywhere or it might be costly to visit them and the fact that a non-irritating symptoms as polyuria may not be considered as a dangerous sign most of the time while diagnosing it could be a great help to prevent or stop the growth amount of dangerous diseases such as Water intoxication, nephrogenic, diabetes insipid us, polycystic kidney disease, Sickle cell disease, Pyelonephritis, Amyloidosis, Sjogren syndrome, Myeloma and Etc. Our goal was to propose an expert system designed by an expert system tool, CLIPS, to be able to use its inference engine to help diagnose polyuria patients and then publish a list of diagnosed diseases and their probabilities. Later on, we will use the double-blind technique to evaluate our proposed system and compare its results with real physicians.