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Docta Complutense
Doctoral thesis . 2021
Data sources: Docta Complutense
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Predicción del estado afectivo en el trastorno bipolar

Prediction of crisis in bipolar disorder
Authors: Urgelés Puértolas, Diego;

Predicción del estado afectivo en el trastorno bipolar

Abstract

El trastorno bipolar es una enfermedad crónica que afecta al estado de ánimo, la actividad y el sueño, con una incidencia relativamente alta en la población. Actualmente su abordaje tiene tasas de efectividad mejorables y supone un importante problema sanitario. Una de las posibles mejorías en su tratamiento sería poder predecir la aparición de crisis modelando el estado afectivo. Esto nos permitiría tratar precozmente los síntomas y minimizar sus consecuencias. Para avanzar en el desarrollo de un modelo del estado afectivo en el trastorno bipolar hemos tomado como base algunas ideas teóricas como son el carácter dinámico de esta enfermedad, la hipótesis de la primacía de la manía y la influencia del ritmo circadiano y el sueño...

Country
Spain
Related Organizations
Keywords

Bipolar disorder, 616.895.1(043.2), Trastorno bipolar, 3211 Psiquiatría, Psiquiatría

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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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
Green