Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/10177
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dc.contributor.authorWerner, JC-
dc.contributor.authorKalganova, T-
dc.date.accessioned2015-02-10T12:08:48Z-
dc.date.available2015-02-10T12:08:48Z-
dc.date.issued2002-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/10177-
dc.description.abstractMedical databases usually contain missing values due the policy of reducing stress and harm to the patient. In practice missing values has been a problem mainly due to the necessity to evaluate mathematical equations obtained by genetic programming. The solution to this problem is to use fill in methods to estimate the missing values. This paper analyses three fill in methods: (1) attribute means, (2) conditional means, and (3) random number generation. The methods are evaluated using sensitivity, specificity, and entropy to explain the exchange in knowledge of the results. The results are illustrated based on the breast cancer database. Conditional means produced the best fill in experimental results.en_US
dc.language.isoenen_US
dc.subjectGenetic programmingen_US
dc.subjectMissing valuesen_US
dc.subjectDisease diagnosticen_US
dc.subjectFill in methodsen_US
dc.subjectEntropyen_US
dc.titleThe effect of missing values using genetic programming on evolvable diagnosisen_US
dc.typeArticleen_US
pubs.organisational-data/Brunel-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Electronic and Computer Engineering-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Electronic and Computer Engineering/Electronic and Computer Engineering-
pubs.organisational-data/Brunel/Brunel Staff by Institute/Theme-
pubs.organisational-data/Brunel/Brunel Staff by Institute/Theme/Institute of Environmental, Health and Societies-
pubs.organisational-data/Brunel/Brunel Staff by Institute/Theme/Institute of Environmental, Health and Societies/Biomedical Engineering and Healthcare Technologies-
pubs.organisational-data/Brunel/University Research Centres and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups/Centre for Research into Entrepreneurship, International Business and Innovation in Emerging Markets-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute for Ageing Studies-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute of Cancer Genetics and Pharmacogenomics-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Centre for Systems and Synthetic Biology-
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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