Genetic Programming as a Method to Develop Powerful Predictive Models for Clinical Diagnosis

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Siccama:gecco05ws,

• author = "Ivar Siccama and Maarten Keijzer",
• title = "Genetic Programming as a Method to Develop Powerful Predictive Models for Clinical Diagnosis",
• booktitle = "Genetic and Evolutionary Computation Conference {(GECCO2005)} workshop program",
• year = "2005",
• month = "25-29 " # jun,
• editor = "Franz Rothlauf and Misty Blowers and J{\"u}rgen Branke and Stefano Cagnoni and Ivan I. Garibay and Ozlem Garibay and J{\"o}rn Grahl and Gregory Hornby and Edwin D. {de Jong} and Tim Kovacs and Sanjeev Kumar and Claudio F. Lima and Xavier Llor{\`a} and Fernando Lobo and Laurence D. Merkle and Julian Miller and Jason H. Moore and Michael O'Neill and Martin Pelikan and Terry P. Riopka and Marylyn D. Ritchie and Kumara Sastry and Stephen L. Smith and Hal Stringer and Keiki Takadama and Marc Toussaint and Stephen C. Upton and Alden H. Wright",
• publisher = "ACM Press",
• address = "Washington, D.C., USA",
• keywords = "genetic algorithms, genetic programming",
• pages = "164--166",
• URL = "http://gpbib.cs.ucl.ac.uk/gecco2005wks/papers/0164.pdf",
• abstract = "In the field of medicine it is of vital importance to accurately predict the presence of a disease (diagnostic prediction)or the future occurrence of a certain event (prognostic prediction). Genetic programming provides a method to develop such prediction models in an optimal way. We discuss as an example the diagnostic prediction of pulmonary embolism (PE),and compare the method of genetic programming with the logistic regression technique, which is well-known in the medical field.",
• notes = "Distributed on CD-ROM at GECCO-2005. ACM 1-59593-097-3/05/0006",

}

Genetic Programming entries for Ivar Siccama Maarten Keijzer

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