Predicting factors for survival of breast cancer patients using machine learning techniques.

Journal: BMC medical informatics and decision making
Published Date: Mar 22, 2019

Abstract

BACKGROUND: Breast cancer is one of the most common diseases in women worldwide. Many studies have been conducted to predict the survival indicators, however most of these analyses were predominantly performed using basic statistical methods. As an alternative, this study used machine learning techniques to build models for detecting and visualising significant prognostic indicators of breast cancer survival rate.

Authors

  • Mogana Darshini Ganggayah
    Data Science and Bioinformatics Laboratory, Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603, Kuala Lumpur, Malaysia.
  • Nur Aishah Taib
    Department of Surgery, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
  • Yip Cheng Har
    Department of Surgery, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia.
  • Pietro Lió
    Computer Laboratory, University of Cambridge, 15 JJ Thomson Avenue, Cambridge, UK.
  • Sarinder Kaur Dhillon
    Data Science and Bioinformatics Laboratory, Institute of Biological Sciences, Faculty of Science, Universiti Malaya, Kuala Lumpur, Malaysia.

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