A Genetic Programming Strategy to Induce Logical Rules for Clinical Data Analysis
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- @Article{castellanos-garzon:2020:Processes,
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author = "Jose A. Castellanos-Garzon and
Yeray {Mezquita Martin} and Jose Luis {Jaimes Sanchez} and
Santiago Manuel {Lopez Garcia} and Ernesto Costa",
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title = "A Genetic Programming Strategy to Induce Logical Rules
for Clinical Data Analysis",
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journal = "Processes",
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year = "2020",
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volume = "8",
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number = "12",
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keywords = "genetic algorithms, genetic programming",
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ISSN = "2227-9717",
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URL = "https://www.mdpi.com/2227-9717/8/12/1565",
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DOI = "doi:10.3390/pr8121565",
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abstract = "This paper proposes a machine learning approach
dealing with genetic programming to build classifiers
through logical rule induction. In this context, we
define and test a set of mutation operators across from
different clinical datasets to improve the performance
of the proposal for each dataset. The use of genetic
programming for rule induction has generated
interesting results in machine learning problems.
Hence, genetic programming represents a flexible and
powerful evolutionary technique for automatic
generation of classifiers. Since logical rules disclose
knowledge from the analysed data, we use such knowledge
to interpret the results and filter the most important
features from clinical data as a process of knowledge
discovery. The ultimate goal of this proposal is to
provide the experts in the data domain with prior
knowledge (as a guide) about the structure of the data
and the rules found for each class, especially to track
dichotomies and inequality. The results reached by our
proposal on the involved datasets have been very
promising when used in classification tasks and
compared with other methods.",
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notes = "also known as \cite{pr8121565}",
- }
Genetic Programming entries for
Jose A Castellanos-Garzon
Yeray Mezquita Martin
Jose Luis Jaimes Sanchez
Santiago Manuel Lopez Garcia
Ernesto Costa
Citations