بررسی نسبی دستگاه های فعال برای بیماران دیابتی نوع دوم با استفاده از روش ژنتیک
Investigation of Quantitative Plant Activity Relationship (QPAR) for Diabetics II Using Genetic Algorithm
نویسندگان |
این بخش تنها برای اعضا قابل مشاهده است ورودعضویت |
اطلاعات مجله |
thescipub.com |
سال انتشار |
2015 |
فرمت فایل |
PDF |
کد مقاله |
19442 |
پس از پرداخت آنلاین، فوراً لینک دانلود مقاله به شما نمایش داده می شود.
چکیده (انگلیسی):
The present study demonstrates a novel computational approach
for Indian Traditional Medicine (ITM) for the effective antidiabetic drug.
Indian traditional practitioners are using many natural Herbals for the cure
of diabetes. Though many diabetes patients are getting temporarily cured
still its cause and effects are unknown due to lack of proper scientific
investigation. Individual plant bioactivities have been already investigated
by many researchers but the combined plant bioactivity effects have not
been studied yet because it requires more number of experiments which is
time consuming and expensive. Regular diabetic medicines available in the
market still not based on the optimal plant bioactivity database and as a
result of which the effectiveness of the medicine also reduced. To
overcome the above drawback a novel computational approach was
proposed for multiple antidiabetic plants in appropriate proportions for its
optimization. Since the process is stochastic in nature Genetic Algorithm
(GA) tool was selected for the design. The actual and predicted results have
been compared in this study.
کلمات کلیدی مقاله (فارسی):
داروهاي گياهي ، روش ژنتيک
کلمات کلیدی مقاله (انگلیسی):
Keywords: Herbal Drugs, GA
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