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Variety and Variability in the diagnosis of Parkinson’s disease. A Look from the Relational Cybernetics

Variety and Variability in the diagnosis of Parkinson’s disease. A Look from the Relational Cybernetics

Abstract

The diagnosis of Parkinson’s disease is one of the current challenges in the medical field of neurology. For this reason, there is a need to look for new models that, based on transdisciplinary conceptions, contribute to its early diagnosis to greatly improve the quality of life of those who suffer from it. This work intends to be a proposal to build a diagnosis on the following conceptual triad: co-autonomy, centralization and variety not required, which radically change the position of the clinical observer, on a general cybernetic basis and a systemic relational vision

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold