EFFICIENCY OF SOME CLASSIFICATION METHODS ADOPTED IN CLINICAL REMINDER SYSTEMS IN CASES OF MIXED DATA
Cluster analysis techniques are widely used in medical researches. Clustering techniques are not unique and hence users must be extremely conscious about what to use in order to analyze their data. The choice of unsuitable technique will resulted directly in a misleading output that cannot be interp...
| 主要な著者: | , |
|---|---|
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
University of Anbar
2008-04-01
|
| シリーズ: | مجلة جامعة الانبار للعلوم الصرفة |
| 主題: | |
| オンライン･アクセス: | https://juaps.uoanbar.edu.iq/article_15442_8f4da0aa8b73a7cdda2910a29eb6aed0.pdf |
| 要約: | Cluster analysis techniques are widely used in medical researches. Clustering techniques are not unique and hence users must be extremely conscious about what to use in order to analyze their data. The choice of unsuitable technique will resulted directly in a misleading output that cannot be interpreted or even give hints for further investigations.Understanding data variability by the use of inferential methods will help us adopt the most appropriate classification technique and accordingly enhance both building more robust CRS and CDSS's. |
|---|---|
| ISSN: | 1991-8941 2706-6703 |