نوع مقاله : مقاله پژوهشی

نویسندگان

1 استادیار گروه مدیریت عملیات و فناوری اطلاعات دانشگاه خوارزمی (نویسنده مسئول)

2 متخصص پزشکی هسته ای، مرکز پزشکی هسته ای یاس

3 کارشناس ارشد مدیریت فناوری اطلاعات دانشگاه خوارزمی

چکیده

بیماری های قلبی عروقی، همه ساله میلیون ها نفر را در جهان مبتلا نموده و بخش اعظمی از بیماری ها را به خود
اختصاص داده است. اگرچه پیشرفت های بسیاری در حوزه دانش پزشکی  صورت گرفته ، ولی تشخیص زود هنگام بیماری، همچنان یک چالش، برای پیشگیری از ابتلای به آن هست. هدف این پژوهش، طراحی وایجاد یک سیستم خبره تشخیص است که به تشخیص بیماری قلبی و عروقی کرونر، در مراحل اولیه  کمک
کند. قواعد با کمک پزشکان ایجاد شدند و روش استنتاج فازی، برای فائق آمدن بر عدم اطمینان موجود بکار 
گرفته شد. نتایج حاصل از سیستم طراحی شده، بیانگر میزان بالای تشخیص درست گروه ها ی نرمال و غیر
نرمال از افراد هست. سیستم طراحی شده می تواند به ارائه خدمات به افرادی بپردازد که در حوزه دانش
پزشکی  فعالیت می کنند و به پیش بینی وضعیت خطر بیماران کمک کند.

کلیدواژه‌ها

عنوان مقاله [English]

A Fuzzy Expert System for the Diagnosis of Coronary Artery Disease

نویسندگان [English]

  • Reza Yousefi Zenouz 1
  • Reza Olamaie 2
  • Somayeh Olamaie 3

چکیده [English]

Millions of people encounter coronary artery disease annually, and this disease constitutes a large number of patients. Although considerable progress has been made in medical science, but the early detection of this disease is still a challenging issue. The aim of this paper is to describe developing a fuzzy expert system that will help to detect CAD at an early stage. Rules were extracted with the aid of doctors and fuzzy approach was taken to cope with the present uncertainty in the medical domain. The results indicate a high level of correct detection of normal and abnormal groups of people. The suggested methodology can help the doctors in medical diagnosis

کلیدواژه‌ها [English]

  • Coronary Artery Disease
  • Fuzzy Expert System
  • Fuzzy Rules
  • Fuzzy Logic
  •  

     

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