A neural network based breast cancer prognosis model with PCA processed features

Smita Jhajharia, Harish Kumar Varshney, Seema Verma, Rajesh Kumar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

41 Citations (Scopus)

Abstract

Accurate identification of the diagnosed cases is extremely important for a reliable prognosis of breast cancer. Data analytics and learning based methods can provide an effective framework for prognostic studies by accurately classifying data instances into relevant classes based on the tumor severity. Accordingly, a multivariate statistical approach has been coupled with an artificial intelligence based learning technique to implement a prediction model. Principal components analysis pre-processes the data and extracts features in the most relevant form for training an artificial neural network that learns the patterns in the data for classification of new instances. The diagnostic data of the original Wisconsin breast cancer database accessed from the UCI machine learning repository has been used in the study. The proposed hybrid model shows promising results when compared with other classification algorithms used most commonly in the literature and can provide a future scope for creation of more sophisticated machine learning based cancer prognostic models.

Original languageEnglish
Title of host publication2016 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2016
EditorsJoel J. P. C. Rodrigues, Patrick Siarry, Gregorio Martinez Perez, Raghuvir Tomar, Al-Sakib Khan Pathan, Sameep Mehta, Sabu M. Thampi, Stefano Berretti, Ravi Prakash Gorthi, Al-Sakib Khan Pathan, Jinsong Wu, Jie Li, Vivek Jain, Joel J. P. C. Rodrigues, Mohammed Atiquzzaman, Joel J. P. C. Rodrigues, Punam Bedi, Mohamed Habib Kammoun
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1896-1901
Number of pages6
ISBN (Electronic)9781509020287
DOIs
Publication statusPublished - 2 Nov 2016
Externally publishedYes
Event5th International Conference on Advances in Computing, Communications and Informatics, ICACCI 2016 - Jaipur, India
Duration: 21 Sept 201624 Sept 2016

Publication series

Name2016 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2016

Conference

Conference5th International Conference on Advances in Computing, Communications and Informatics, ICACCI 2016
Country/TerritoryIndia
CityJaipur
Period21/09/1624/09/16

Keywords

  • Artificial Neural Network
  • Classification
  • Prediction model
  • Principal Component Analysis
  • Prognosis

ASJC Scopus subject areas

  • Information Systems
  • Computer Science (miscellaneous)
  • Computer Networks and Communications
  • Hardware and Architecture

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