Applying CST on medical datasets

Other Title(s)

تطبيق تقنية تشريح الحالة (CST)‎ على البيانات الطبية

Author

Shibah, Umar Abd al-Ghani

Source

مجلة جامعة سبها للعلوم البحتة و التطبيقية

Publisher

Sabha University

Publication Date

2018-03-31

Country of Publication

Libya

No. of Pages

3

Main Subjects

Information Technology and Computer Science

English Abstract

An important component of many data mining projects is finding a good classification algorithm; Case Slicing Technique (CST) is a classification algorithm based on program slicing techniques is examined in solving the classification problems in medical domain.

The technique is experimented with three medical datasets, Hepatitis Domain (HEPA), Heart Disease (CLEV) and Breast Cancer (BCO) datasets.

The experimental results are compared with other classification algorithms, K-Nearest Neighbor (K-NN) and Naïve Bayes (NB).

The experimental result shows that the slicing technique is a promising classification algorithm in solving the decision making in medical classification problem.

Data Type

Conference Papers

Record ID

BIM-1213546

• APA
• MLA
• AMA