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Alternative Fitness Functions in the Development of Models for Prediction of Patient Recruitment in Multicentre Clinical Trials.

G. Borlikova, M. Phillips, L. Smith, M. Nicolau, and M. O'Neill. OR, page 375-381. Springer, (2016)

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Development of a multi-model system to accommodate unknown misclassification costs in prediction of patient recruitment in multicentre clinical trials.G. Borlikova, M. O'Neill, L. Smith, and M. Phillips. GECCO (Companion), page 263-264. ACM, (2017)Alternative Fitness Functions in the Development of Models for Prediction of Patient Recruitment in Multicentre Clinical Trials.G. Borlikova, M. Phillips, L. Smith, M. Nicolau, and M. O'Neill. OR, page 375-381. Springer, (2016)Evolving Classification Models for Prediction of Patient Recruitment in Multicentre Clinical Trials Using Grammatical Evolution.G. Borlikova, M. Phillips, L. Smith, and M. O'Neill. EvoApplications (1), volume 9597 of Lecture Notes in Computer Science, page 46-57. Springer, (2016)Business Analytics and Grammatical Evolution for the Prediction of Patient Recruitment in Multicentre Clinical Trials.G. Borlikova, L. Smith, M. Phillips, and M. O'Neill. Handbook of Grammatical Evolution, Springer, (2018)

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Alternative Fitness Functions in the Development of Models for Prediction of Patient Recruitment in Multicentre Clinical Trials.

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Disambiguation of "Borlikova, Gilyana"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Alternative Fitness Functions in the Development of Models for Prediction of Patient Recruitment in Multicentre Clinical Trials.

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Alternative Fitness Functions in the Development of Models for Prediction of Patient Recruitment in Multicentre Clinical Trials.