Mammographic Breast Screening in Elderly Women

Wyld, Lynda

doi:10.1007/978-1-84800-265-4_9

Management of Breast Cancer in Older Women 2009

DOI: 10.1007/978-1-84800-265-4_9

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Mammographic Breast Screening in Elderly Women

Lynda Wyld

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2011

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Predicting Breast Screening Attendance Using Machine Learning Techniques

Baskaran

Guergachi

Bali

et al. 2011

IEEE Trans. Inform. Technol. Biomed.

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Machine learning-based prediction has been effectively applied for many healthcare applications. Predicting breast screening attendance using machine learning (prior to the actual mammogram) is a new field. This paper presents new predictor attributes for such an algorithm. It describes a new hybrid algorithm that relies on back-propagation and radial basis function-based neural networks for prediction. The algorithm has been developed in an open source-based environment. The algorithm was tested on a 13-year dataset (1995-2008). This paper compares the algorithm and validates its accuracy and efficiency with different platforms. Nearly 80% accuracy and 88% positive predictive value and sensitivity were recorded for the algorithm. The results were encouraging; 40-50% of negative predictive value and specificity warrant further work. Preliminary results were promising and provided ample amount of reasons for testing the algorithm on a larger scale.

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Predicting Breast Screening Attendance Using Machine Learning Techniques

Baskaran

Guergachi

Bali

et al. 2011

IEEE Trans. Inform. Technol. Biomed.

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show abstract

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Mammographic Breast Screening in Elderly Women

Cited by 1 publication

References 62 publications

Predicting Breast Screening Attendance Using Machine Learning Techniques

Predicting Breast Screening Attendance Using Machine Learning Techniques

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