Towards affordable biomarkers of frontotemporal dementia: A classification study via network's information sharing

dc.date.accessioned2020-03-11T20:34:19Z
dc.date.accessioned2022-10-18T22:57:48Z
dc.date.available2020-03-11T20:34:19Z
dc.date.available2022-10-18T22:57:48Z
dc.date.created2020-03-11T20:34:19Z
dc.date.issued2017
dc.identifierhttp://hdl.handle.net/10533/240227
dc.identifier15150012
dc.identifierWOS:000403650300065
dc.identifierno scielo
dc.identifiereid=2-s2.0-85021114987
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4471566
dc.description.abstractDeveloping effective and affordable biomarkers for dementias is critical given the difficulty to achieve early diagnosis. In this sense, electroencephalographic (EEG) methods offer promising alternatives due to their low cost, portability, and growing rob
dc.languageeng
dc.relationhttps://doi.org/10.1038/s41598-017-04204-8
dc.relation10.1038/s41598-017-04204-8
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.titleTowards affordable biomarkers of frontotemporal dementia: A classification study via network's information sharing
dc.typeArticulo


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