Classifying healthy women and preeclamptic patients from cardiovascular data using recurrence and complex network methods

Simple item page
dc.contributor.authorGonzalo Marcelo Ramírez-Ávila
dc.contributor.authorA. Gapelyuk
dc.contributor.authorNorbert Marwan
dc.contributor.authorHolger Stepan
dc.contributor.authorJürgen Kurths
dc.contributor.authorThomas Walther
dc.contributor.authorNiels Wessel
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T14:34:30Z
dc.date.available2026-03-22T14:34:30Z
dc.date.issued2013
dc.descriptionCitaciones: 23
dc.identifier.doi10.1016/j.autneu.2013.05.003
dc.identifier.urihttps://doi.org/10.1016/j.autneu.2013.05.003
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/47307
dc.language.isoen
dc.publisherElsevier BV
dc.relation.ispartofAutonomic Neuroscience
dc.sourcePotsdam Institute for Climate Impact Research
dc.subjectRecurrence quantification analysis
dc.subjectAssortativity
dc.subjectMedicine
dc.subjectRecurrence plot
dc.subjectLinear discriminant analysis
dc.subjectCardiology
dc.subjectInternal medicine
dc.subjectMathematics
dc.subjectComplex network
dc.subjectArtificial intelligence
dc.titleClassifying healthy women and preeclamptic patients from cardiovascular data using recurrence and complex network methods
dc.typearticle

Files

Collections

Artículo Científico Publicado