چکیده:
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.
خلاصه ماشینی:
Prediction and Diagnosis of Down Syndrome Disease by using the CHAID Algorithm Sajad Saydali1 and Hamid Parvin2 1Department of Computer Engineering, Yasuj Technical College, Technical & Vocational University, Yasuj, Iran s.
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.
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.
Original Article: Received 21 Sep. 2015 Accepted 19 Dec. 2015 Published 30 Dec. 2015 Keywords: Data Mining, Database, Down Syndrome, Classification Techniques Introduction Modern medicine produce large amount of stored information in the medical databases.
The purpose of data mining predictive techniques in clinical medicine is building a predictive model that helps doctors to improve methods of prevention, diagnosis and treatment programs [1].
Then, in the second section, this paper is examining the data mining techniques in the field of predicting and diagnosis of disease.
In this article, we attempt to put the first trimester combined screening test data sets by applying the CHAID algorithm, consider to the diagnosis of Down syndrome disease.
Conclusion By applying the CHAID algorithm by Rapid Miner software, obtained decision tree and the results of the diagnosis of Down syndrome disease are shown in Figure 1 and Table 3.