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(ناشر تخصصی کنفرانسهای کشور / شماره مجوز انتشارات از وزارت فرهنگ و ارشاد اسلامی: ۸۹۷۱)

گواهی نمایه سازی مقاله Prediction and Diagnosis of Down Syndrome Disease by using the CHAID Algorithm

عنوان مقاله: Prediction and Diagnosis of Down Syndrome Disease by using the CHAID Algorithm
شناسه (COI) مقاله: JR_UJRSET-3-4_005
منتشر شده در فصلنامه پژوهش در علوم، مهندسی و تکنولوژی در سال ۱۳۹۴
مشخصات نویسندگان مقاله:

Sajad Saydali - Department of Computer Engineering, Yasuj Technical College, Technical & Vocational University, Yasuj, Iran
Hamid Parvin - Department of Computer Engineering, Assistant Professor, Qeshm International Branch, Islamic Azad University, Qeshm, Iran

خلاصه مقاله:
Today, development of technology and the use of modern medical equipment and update technology produce massive amounts of stored information in the medical database. Analysis and discovery of knowledge from medical database is difficult due to the high volume of data and is requires a newer technology that data mining technologies to achieve this important to help its powerful algorithms. Data mining techniques with extract knowledge and the unseen patterns from huge volumes of data and build models related to medical databases, designed decision support system that help decision-making to Medical. The main objective of this paper has been to examine how to apply data mining techniques to predict and diagnosis of Down syndrome disease based on the medical information of 200 patients referred to medical laboratories in the country by using data mining algorithm CHAID in Rapid Miner software. The results showed that the CHAID algorithm with 100% accuracy has ability diagnosis of Down syndrome disease.

کلمات کلیدی:
Data Mining, Database, Down Syndrome, Classification Techniques

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