مقاله انگلیسی رایگان در مورد تشخیص بیماری با استفاده از روش منطق فازی – الزویر 2018

 

مشخصات مقاله
انتشار مقاله سال 2018
تعداد صفحات مقاله انگلیسی 53 صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
منتشر شده در نشریه الزویر
نوع نگارش مقاله مقاله مروری (Review Article)
نوع مقاله ISI
عنوان انگلیسی مقاله Diseases diagnosis using fuzzy logic methods: A systematic and meta-analysis review
ترجمه عنوان مقاله تشخیص بیماری با استفاده از روش منطق فازی: یک بررسی سیستماتیک و متاآنالیز
فرمت مقاله انگلیسی  PDF
رشته های مرتبط  پزشکی
گرایش های مرتبط انفورماتیک پزشکی
مجله روش های و برنامه های کامپیوتری در بیوپزشکی – Computer Methods and Programs in Biomedicine
دانشگاه Iran University of Medical Sciences – Tehran – Iran
کلمات کلیدی منطق فازی، تشخیص بیماری، عدم قطعیت، روش های فازی، PRISMA
کلمات کلیدی انگلیسی Fuzzy logic, Disease diagnosis, Uncertainty, Fuzzy methods, PRISMA
شناسه دیجیتال – doi
https://doi.org/10.1016/j.cmpb.2018.04.013
کد محصول E8765
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1. Introduction

The study of disease is one of the key concepts in medical sciences. Disease, like other health issues is not exclusively scientific concept. Absolutely everyone has a memory or an intuitive comprehension of the disease and it has long been one of the major human concerns [1]. In medical science, disease or illness is defined as any impairment or disability of ordinary physiological condition or function of the human body that is characterized by broadly sign and symptoms [2, 3]. In fact, the disease is a set of observable sign and symptoms that should be interpreted by physicians. This interpretation process has to be done by diagnosis process. Disease diagnosis like many terms in a medical context cannot be indicated with the clear definition; however, in general medicine, it refers to the complicated process of decision making leading to an accurate understanding of patient’s health problem [4]. Since disease diagnosis is the fundamental in clinical decision making, it involves with different subjective and objective factors. Therefore, the accurate and timely diagnosis has the most important role in determining disease or disorder. Hence, until a definitive diagnosis is not determined, the treatment plan cannot be formulated [5]. Diagnosis is recognized as a complex and difficult process for healthcare professionals because the physicians have to simultaneously consider the various factors and circumstances with regard to medical evidence [6]. Due to the complexity of clinical diagnostic process as one of the main task of physicians, all health professionals try to reduce uncertainty in diagnosis by means of collecting empirical data to manage a patient’s problems. In fact, disease diagnosis is a clinical reasoning process in which advantageous information are provided to improve healthcare quality [5, 7]. But with all these considerations, disease diagnosis may be performed with unwanted errors for its vague nature and complexity. In other words, since each patient might show the different degree of suspicion to various diseases, disease diagnosis is always established with uncertainty. This uncertainty can be originated from the vague nature of the disease, patient’s data, and complicated medical diagnosis process. In addition, this ambiguity is related to inherent nature of medicine [8, 9].

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