Predicting breast screening attendance using machine learning techniques

V. Baskaran, A. Guergachi, Rajeev Bali, Raouf Naguib

    Research output: Contribution to journalArticlepeer-review

    11 Citations (Scopus)
    23 Downloads (Pure)

    Abstract

    Machine learning-based prediction has been effec6
    tively applied for many healthcare applications. Predicting breast
    7 screening attendance using machine learning (prior to the actual
    8 mammogram) is a new field. This paper presents new predictor
    9 attributes for such an algorithm. It describes a new hybrid algo10
    rithm that relies on back-propagation and radial basis function11
    based neural networks for prediction. The algorithm has been de12
    veloped in an open source-based environment. The algorithm was
    13 tested on a 13-year dataset (1995–2008). This paper compares the
    14 algorithm and validates its accuracy and efficiency with different
    15 platforms. Nearly 80%accuracy and 88%positive predictive value
    16 and sensitivity were recorded for the algorithm. The results were
    17 encouraging; 40–50% of negative predictive value and specificity
    18 warrant further work. Preliminary results were promising and
    19 provided ample amount of reasons for testing the algorithm on a
    20 larger scale.
    Original languageEnglish
    Pages (from-to)251-259
    JournalIEEE Transactions on Information Technology in Biomedicine
    Volume15
    Issue number2
    DOIs
    Publication statusPublished - Mar 2011

    Bibliographical note

    © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    Keywords

    • breast screening
    • cancer
    • machine learning
    • neural networks
    • prediction
    • screening attendance

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