A Fuzzy Decision Support System for Management of Breast Cancer
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2011, Vol 2, Issue 3
Abstract
In the molecular era the management of cancer is no more a plan based on simple guidelines. Clinical findings, tumor characteristics, and molecular markers are integrated to identify different risk categories, based on which treatment is planned for each individual case. This paper aims at developing a fuzzy decision support system (DSS) to guide the doctors for the risk stratification of breast cancer, which is expected to have a great impact on treatment decision and to minimize individual variations in selecting the optimal treatment for a particular case. The developed system was based on clinical practice of Oncology Center Mansoura University (OCMU). This system has six input variables (Her2, hormone receptors, age, tumor grade, tumor size, and lymph node) and one output variable (risk status). The output variable is a value from 1 to 4; representing low risk status, intermediate risk status and high risk status. This system uses Mamdani inference method and simulation applied in MATLAB R2009b fuzzy logic toolbox.
Authors and Affiliations
Ahmed Abou Elfetouh Saleh, Sherif Ebrahim Barakat, Ahmed Awad Ebrahim Awad
Keywords
Related Articles
- EP ID EP124242
- DOI -
- Views 98
- Downloads 0
Data Flows Management and Control in Computer Networks
In computer networks, loss of data packets is inevitable, because of the buffer memory overflow of at least one of the nodes located on the path from the source to the receiver, including the latter. Such losses associat...
A Comparison Study between Data Mining Tools over some Classification Methods
Nowadays, huge amount of data and information are available for everyone, Data can now be stored in many different kinds of databases and information repositories, besides being available on the Internet or in printed f...
Integrating Service Design and Eye Tracking Insight for Designing Smart TV User Interfaces
This research proposes a process that integrate service design method and eye tracking insight for designing a Smart TV user interface. The Service Design method, which is utilized for leading the combination of the qual...
The SNCD as a Metrics for Image Quality Assessment
In our era, when we have a lot of instrument to capture digital images and they go more in more increasing the image resolution; the quality of the images become very important for different application, and the developm...
Machine-Learning Techniques for Customer Retention: A Comparative Study
Nowadays, customers have become more interested in the quality of service (QoS) that organizations can provide them. Services provided by different vendors are not highly distinguished which increases competition between...