عامری, حکیمه
دانشگاه خواجه نصیرالدین طوسی تهران
[ 1 ] - شناسایی عوامل تأثیرگذار بر سکته قلبی در بیماران دیابتی با استفاده از الگوریتم C&R
Background and Objective: Cardiovascular disease is the most common cause of death in developed countries and in the whole world, and according to the World Health Organization prediction, will be the major cause of morbidity throughout the world in 2020. According to the recent World Health Organization report from each 20 deaths, one is due to diabetes. Heart disease and heart attack are the ...
[ 2 ] - ارائه مدلی برای پیشبینی احتمال ابتلا به بیماری پوکی استخوان با استفاده از الگوریتم های درخت تصمیم
Background and purpose: Some diseases such as osteoporosis may have no symptom but suddenly cause fractures in different parts of body such as spine, chest, hands and legs, thereby resulting in very painful death in old people. According to a report by Iran’s ministry of health 4.6% of people aged 20 to 70 years in Iran are affected by osteoporosis in the spine. This study aimed at determining ...
[ 3 ] - بررسی میزان تأثیر داروهای درمان ناباروری در بیماران نابارور با استفاده از الگوریتم خوشه بندی و تکنیک های داده کاوی
Background and purpose: The rate of infertility has increased throughout the world. Data mining is a new method for analyzing information from databases. Few studies are done regarding infertility and using data mining in describing and predicting different treatment methods and factors influencing these methods. This paper proposes a model for evaluating the efficacy of different drugs in trea...
[ 4 ] - استخراج دانش از داده های بیماران دیابتی با استفاده از روش درخت تصمیم C5.0
Introduction: In the last 10 years The incidence of diabetes has doubled worldwide with annual increasing rate of about 6%. More than 2 million people in Iran are now affected by this disease. The present research deals with the relation between the observed complications of type 2 diabetic patients and some related features like Blood Glucose Level, Blood Pressure, Age, and Family History. The...
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