Data Mining of Determinants of Intrauterine Growth Retardation Revisited Using Novel Algorithms Generating Semantic Maps and Prototypical Discriminating Variable Profiles

OBJECTIVES: Intra-uterine growth retardation is often of unknown origin, and is of great interest as a “Fetal Origin of Adult Disease” has been now well recognized. We built a benchmark based upon a previously analysed data set related to Intrauterine Growth Retardation with 46 subjects described by...

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Detalles Bibliográficos
Autores principales: Buscema, Massimo, Grossi, Enzo, Montanini, Luisa, Street, Maria E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4497659/
https://www.ncbi.nlm.nih.gov/pubmed/26158499
http://dx.doi.org/10.1371/journal.pone.0126020

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4497659/
https://www.ncbi.nlm.nih.gov/pubmed/26158499
http://dx.doi.org/10.1371/journal.pone.0126020

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