کاربرد سیستم های پشتیبانی تصمیم گیری پزشکی مبتنی بر وب برای تشخیص بیماری کرونری قلب با روش حداقل سازی توابع بولی
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|5732||2011||7 صفحه PDF||سفارش دهید||4700 کلمه|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Expert Systems with Applications, Volume 38, Issue 11, October 2011, Pages 14037–14043
Heart and vein diseases are one of the most important health problems. The number of the people who died of heart and vein diseases is more than the number of the people who died of all other health problems and natural disasters. In order to decrease this number, the intervention must be started very earlier and people must be informed about this subject. In this study, Medical Expert System has been used all the probabilities of CHD has been determined (9 symptoms, 29 = 512 different occasions) and from these probabilities, an accuracy table has been formed. This accuracy table has been simplified with the Boolean functions simplifying methods. 94 rules have been achieved by the Boolean functions minimization method. The rules achieved have formed the Expert System’s rule base. 303 patients’ values have been compared with the realized Expert System. The Medical Expert System which was formed as a result of the evaluation has evaluated men with 86.5%, women with 84.5% and in general with 86.1% accuracy rate.
In developed countries Coroner Heart Diseases (CHD), leads the reasons of death and lameness (Shapiron, Sadock, & Sadock, 2000). According to the latest formal numbers of World Health Organization (WHO) and World Heart Federation’s (WHF), the number of people who died of heart and vein diseases is 17.5 millions and there are 2 millions in the European Union (EU). The people who died of heart and vein diseases are more then the people who died of natural disasters and all other health problems (Tüzüner, 2005). According to the explanations of WHF and European Heart United Association’s, it has become more updated and important that this increasing rate will grow by 2030. WHO explains that when we come to 2020, there will have been 25 million people who have died of heart and vein diseases in the world (www.tkv.org.tr) (www.tkd-online.org). The hearth diseases which cause hundreds of people to die or make them live an unhappy, unhealthy and inefficient life is one of the most important socio-economical problems which lead billion dollars of economical loss. Though they are not the exact numbers, it is estimated that heart and vein diseases are a big burden to the EU with its cost about 170 billion Euros. It means that it costs 372 Euros per one person. The amount of the loss of production because of not working and death as a result of heart and vein diseases is calculated as 35 billion Euros for EU (http://www.tkd-online.org/UKSP/TKD_UlusalKalpSagligiPolitikasi_Taslak.pdf, 2010). To come up with these problems, it is very important that all the people be informed about the disease and precautions be taken against in the treatment and the diagnosis of these diseases. In our country more then 12 million people (1 of 3 people) are under the risk of having heart-vein diseases (Sarıoğlu, 2009). For this reason, by looking at the 9 (9 symptoms, 29 = 512 different occasions) significant symptoms of 14 different symptoms, it can be evaluated if one has CHD or not. In order to evaluate the disease, a Medical Expert System (MES) has been developed by using the data from the scientific articles and expert doctors in their fields. Instead of evaluating the disease in 512 different occasions, the Expert System (ES) has been able to evaluate the disease in less occasions by using the minimization of Boolean functions method. The 94 results we have got in the result of the minimization of Boolean functions method constitute the rule base of MES. The realized MES has been put in to the web portal and has been served for everybody’s use. Through the agency of this system, we can benefit from time, place, money etc.
نتیجه گیری انگلیسی
In this study, MES has been done by 9 symptoms of CHD. 512 different conditions which have been evaluated are reduced to 94 conditions by the minimization method of Boolean functions. Reduced conditions obtained, have formed the realized MES rule base. People can find out that they have CHD or not, with this ES without going to an expert doctor. In order to evaluate MES, the results of 303 patient studied on are entered in the system. 164 (%54) of them were healthy and 139 (%46) of them were diseased. The improved MES’s success rate by looking at the evaluation results is 84.5% in women, 86.9% in men and 86.1 in general. As the average age in data bases is high and as they are old people, the graphic of the patients’ result values were irregular. But this condition hasn’t affected the general rate of success of the developed MES. By the help of developed web interface MES; the users will be able to reach the system online via the net. The person who enters the system his entry parameters will be able to learn if he has CHD or not. So an early diagnosis of the disease will be possible. By this way; financial and spiritual loss due to the late diagnosis of the disease will be diminished into a minimum level. The MES will not only be used by the patients but also by the expert doctors. The doctor who enters the values of his patient into the system will be able to pre-evaluate his patient and he will be able to see the points he missed before. It is thought that MES is suitable for researching and improving in order to minimize financial and spiritual problems caused by health problems and to make the people lead a happy life and to decrease the burden of these diseases to the country’s economy.