Cargando…
Computerized database management system for breast cancer patients
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 a...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4082536/ https://www.ncbi.nlm.nih.gov/pubmed/25045606 http://dx.doi.org/10.1186/2193-1801-3-268 |
_version_ | 1782324269840072704 |
---|---|
author | Sim, Kok Swee Chong, Sze Siang Tso, Chih Ping Nia, Mohsen Esmaeili Chong, Aun Kee Abbas, Siti Fathimah |
author_facet | Sim, Kok Swee Chong, Sze Siang Tso, Chih Ping Nia, Mohsen Esmaeili Chong, Aun Kee Abbas, Siti Fathimah |
author_sort | Sim, Kok Swee |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4082536 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-40825362014-07-18 Computerized database management system for breast cancer patients Sim, Kok Swee Chong, Sze Siang Tso, Chih Ping Nia, Mohsen Esmaeili Chong, Aun Kee Abbas, Siti Fathimah Springerplus Research 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. Springer International Publishing 2014-05-27 /pmc/articles/PMC4082536/ /pubmed/25045606 http://dx.doi.org/10.1186/2193-1801-3-268 Text en © Sim et al.; licensee Springer. 2014 This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Sim, Kok Swee Chong, Sze Siang Tso, Chih Ping Nia, Mohsen Esmaeili Chong, Aun Kee Abbas, Siti Fathimah Computerized database management system for breast cancer patients |
title | Computerized database management system for breast cancer
patients |
title_full | Computerized database management system for breast cancer
patients |
title_fullStr | Computerized database management system for breast cancer
patients |
title_full_unstemmed | Computerized database management system for breast cancer
patients |
title_short | Computerized database management system for breast cancer
patients |
title_sort | computerized database management system for breast cancer
patients |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4082536/ https://www.ncbi.nlm.nih.gov/pubmed/25045606 http://dx.doi.org/10.1186/2193-1801-3-268 |
work_keys_str_mv | AT simkokswee computerizeddatabasemanagementsystemforbreastcancerpatients AT chongszesiang computerizeddatabasemanagementsystemforbreastcancerpatients AT tsochihping computerizeddatabasemanagementsystemforbreastcancerpatients AT niamohsenesmaeili computerizeddatabasemanagementsystemforbreastcancerpatients AT chongaunkee computerizeddatabasemanagementsystemforbreastcancerpatients AT abbassitifathimah computerizeddatabasemanagementsystemforbreastcancerpatients |