Methodology based on linguistic protoforms for activity detection in patients  with type 2 diabetes mellitus

dc.contributor.author	Díaz Jiménez, David
dc.contributor.author	González Lama, Jesús
dc.contributor.author	Espinilla Estévez, Macarena
dc.contributor.author	López Ruiz, José Luis
dc.date.accessioned	2024-04-17T07:02:41Z
dc.date.available	2024-04-17T07:02:41Z
dc.date.issued	2024-01-06
dc.identifier.uri	https://hdl.handle.net/10953/2648
dc.language.iso	spa	es_ES
dc.publisher	ScholarSpace	es_ES
dc.relation.ispartof	57th Hawaii International Conference on System Sciences (HICSS);Honolulu, HI, EEUU	es_ES
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es_ES
dc.subject	Linguistic protoforms, Human Activity Recognition, Diabetes, Sustainable Development Goals	es_ES
dc.title	Methodology based on linguistic protoforms for activity detection in patients with type 2 diabetes mellitus	es_ES
dc.type	info:eu-repo/semantics/conferenceObject	es_ES
dc.type.version	info:eu-repo/semantics/acceptedVersion	es_ES