Evolving Classification Models for Prediction of Patient Recruitment in Multicentre Clinical Trials Using Grammatical Evolution
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{conf/evoW/BorlikovaPSO16,
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author = "Gilyana Borlikova and Michael Phillips and
Louis Smith and Michael O'Neill",
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title = "Evolving Classification Models for Prediction of
Patient Recruitment in Multicentre Clinical Trials
Using Grammatical Evolution",
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booktitle = "19th European Conference on Applications of
Evolutionary Computation, EvoApplications 2016",
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year = "2016",
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editor = "Giovanni Squillero and Paolo Burelli",
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volume = "9597",
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series = "Lecture Notes in Computer Science",
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pages = "46--57",
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address = "Porto, Portugal",
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month = mar # " 30 -- " # apr # " 1",
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organisation = "EvoStar",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming, Grammatical
evolution, Clinical trials, Enrolment, Grammar-based
genetic programming",
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bibdate = "2016-03-23",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/evoW/evoappl2016-1.html#BorlikovaPSO16",
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isbn13 = "978-3-319-31204-0",
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URL = "https://link.springer.com/chapter/10.1007/978-3-319-31204-0_4",
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DOI = "doi:10.1007/978-3-319-31204-0_4",
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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.",
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notes = "EvoApplications2016 held inconjunction with
EuroGP'2016, EvoCOP2016 and EvoMUSART 2016",
- }
Genetic Programming entries for
Gilyana Borlikova
Michael Phillips
Louis Smith
Michael O'Neill
Citations