Evolving Classification Models for Prediction of Patient Recruitment in Multicentre Clinical Trials Using Grammatical Evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.7810

@InProceedings{conf/evoW/BorlikovaPSO16,

• author = "Gilyana Borlikova and Michael Phillips and Louis Smith and Michael O'Neill",
• title = "Evolving Classification Models for Prediction of Patient Recruitment in Multicentre Clinical Trials Using Grammatical Evolution",
• booktitle = "19th European Conference on Applications of Evolutionary Computation, EvoApplications 2016",
• year = "2016",
• editor = "Giovanni Squillero and Paolo Burelli",
• volume = "9597",
• series = "Lecture Notes in Computer Science",
• pages = "46--57",
• address = "Porto, Portugal",
• month = mar # " 30 -- " # apr # " 1",
• organisation = "EvoStar",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, Grammatical evolution, Clinical trials, Enrolment, Grammar-based genetic programming",
• bibdate = "2016-03-23",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/evoW/evoappl2016-1.html#BorlikovaPSO16",
• isbn13 = "978-3-319-31204-0",
• URL = "https://link.springer.com/chapter/10.1007/978-3-319-31204-0_4",
• DOI = "doi:10.1007/978-3-319-31204-0_4",
• abstract = "Successful and timely completion of prospective clinical trials depends on patient recruitment as patients are critical to delivery of the prospective trial data. There exists a pressing need to develop better tools/techniques to optimise patient recruitment in multi-centre clinical trials. In this study Grammatical Evolution (GE) is used to evolve classification models to predict future patient enrolment performance of investigators/site to be selected for the conduct of the trial. Prediction accuracy of the evolved models is compared with results of a range of machine learning algorithms widely used for classification. The results suggest that GE is able to successfully induce classification models and analysis of these models can help in our understanding of the factors providing advanced indication of a trial sites' future performance.",
• notes = "EvoApplications2016 held inconjunction with EuroGP'2016, EvoCOP2016 and EvoMUSART 2016",

}

Genetic Programming entries for Gilyana Borlikova Michael Phillips Louis Smith Michael O'Neill

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