Personalized Care: A Clinical Decision Support System for Breast Cancer Screening Using Clustering and Classification

14 Pages Posted: 9 Mar 2018

See all articles by M Alamelumangai

M Alamelumangai

Sona College of Technology, Department of Computer Science and Engineering, Students

B Sathiyabhama

Sona College of Technology - Department of Computer Science and Engineering

Date Written: November 15, 2017

Abstract

In recent years, Computer-Aided Diagnosis (CADx) is popularly used in the healthcare system for the clinical guidelines. Breast cancer is the most leading cause of cancer death in women both in developed and developing countries. The lack of personalized care, early diagnosis and treatment of breast cancer is the major challenge for medical practitioners. To address this issue, personalized breast cancer screening is developed by considering the patient personal features as well as the screening features. This is to suggest the treatment and regular follow up. Therefore, a clinical decision support system is mandatory for the quality decision making and timely diagnosis for the women. The system entails the Partitioning around Medoids (PAM) clustering of personal features and active classifier on each cluster with the screening features. Breast Imaging Reporting and Data System (BI-RADS) scheme is used to place the findings from the screening into well defined categories. This system helps in reducing the cost of screening and providing the guidelines for the medical practitioners.

Keywords: Breast cancer and early detection, BI-RADS, Clinical decision support system, PAM clustering, Classifier

Suggested Citation

Alamelumangai, M and Sathiyabhama, B, Personalized Care: A Clinical Decision Support System for Breast Cancer Screening Using Clustering and Classification (November 15, 2017). Proceedings of the International Conference on Intelligent Computing Systems (ICICS 2017 – Dec 15th - 16th 2017) organized by Sona College of Technology, Salem, Tamilnadu, India, Available at SSRN: https://ssrn.com/abstract=3134277 or http://dx.doi.org/10.2139/ssrn.3134277

M Alamelumangai (Contact Author)

Sona College of Technology, Department of Computer Science and Engineering, Students ( email )

Junction Main Road
Suramangalam
Salem, Tamil Nadu 636005
India

B Sathiyabhama

Sona College of Technology - Department of Computer Science and Engineering ( email )

Junction Main Road
Suramangalam
Salem, Tamil Nadu 636005
India

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
74
Abstract Views
492
rank
391,083
PlumX Metrics