Abstract
Data analysis based on breast cancer risk factors such as age, race, breastfeeding, hormone replacement therapy, family history, and obesity was conducted on breast cancer patients using a new enhanced computerized database management system. My Structural Query Language (MySQL) is selected as the application for database management system to store the patient data collected from hospitals in Malaysia. An automatic calculation tool is embedded in this system to assist the data analysis. The results are plotted automatically and a user-friendly graphical user interface is developed that can control the MySQL database. Case studies show breast cancer incidence rate is highest among Malay women, followed by Chinese and Indian. The peak age for breast cancer incidence is from 50 to 59 years old. Results suggest that the chance of developing breast cancer is increased in older women, and reduced with breastfeeding practice. The weight status might affect the breast cancer risk differently. Additional studies are needed to confirm these findings.
Highlights
Computerized database management (CDM) system has been widely implemented in many hospitals over the world to allow the proper management of medical records for different types of cancer patients (Ann et al 2003)
Medical information is needed in any health organization to avoid medical errors and inappropriate decisions
An analytic database management system has been proposed and developed in this project. This system provides the facilities for storing, retrieving and updating breast cancer patient data but it provides the tools which assists the data analysis to be performed on the stored data
Summary
Computerized database management (CDM) system has been widely implemented in many hospitals over the world to allow the proper management of medical records for different types of cancer patients (Ann et al 2003). Medical information is needed in any health organization to avoid medical errors and inappropriate decisions. CDM based management systems have been developed to address the increasing demand of accessibility of medical information. In CDM systems, patients’ electronic medical data are collected and recorded to offer enough information and support to physicians for medical decision making. The aim of CDM systems is to provide a fast and secure platform to health care organizations, to improve the speed of simultaneous access and retrieval of medical records, and improving confidentiality of medical records (Delpierre et al 2004)
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