Title :
A novel breast cancer prediction system
Author :
Tee, Ir Cath ; Gazala, Ali H.
Author_Institution :
Centre of Funded Res. & Consultancy, Malaysia Univ. of Sci. & Technol., Kuala Lumpur, Malaysia
Abstract :
This paper presents a novel design and methodology which are implemented through a web based decision support system designed for oncologists and medical professionals. It gives an overview on the development process and methodology. It also explores previous works and similar research in this domain while highlights some of the limitations in those systems and compares our system which has addressed those shortcomings as well as novel features to be included for future work.
Keywords :
Internet; cancer; decision support systems; medical computing; Web based decision support system; breast cancer prediction system; medical professional; oncologists; Breast cancer; Computational modeling; Data mining; Databases; Medical diagnostic imaging; Tumors; Breast Cancer Prediction System; Cancer Survivability; SEER;
Conference_Titel :
Innovations in Intelligent Systems and Applications (INISTA), 2011 International Symposium on
Conference_Location :
Istanbul
Print_ISBN :
978-1-61284-919-5
DOI :
10.1109/INISTA.2011.5946170
