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双相情感障碍演变的临床特征与预测

Clinical Characterization and Prediction of Bipolar Disorder Evolution.

作者信息

Kloucek Petr, von Gunten Armin, Fassassi Sylfa

机构信息

SUPAA, Hôpital de Cery, Route de Cery, CH-1008 Prilly, Lausanne, Switzerland.

Service de Psychiatrie Générale, Site de Cery, Lausanne University Hospital, Route de Cery, CH-1008 Prilly, Lausanne, Switzerland.

出版信息

J Clin Med. 2025 Mar 21;14(7):2159. doi: 10.3390/jcm14072159.

DOI:10.3390/jcm14072159
PMID:40217610
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11989241/
Abstract

: This paper addresses the possibility of replacing subjective evaluations of mental disorders with analytical tools based on large data provided by wearable sensors in combination with subsequent complexity mesoscale data projection using constitutive mathematical frameworks. : The presented methods are based on the combination of a complexity/fractal approach and stochastic optimization, yielding Digital Mental Biomarkers (DMBs). : Analytic indexing can effectively augment the Young Mania Rating Scale, DSM-5 criteria, or structured interview diagnostics. The analytical approach allows us to carry out a prediction of mental disorder evolution as well as a subsequent probability characterization of BD episode progression over time. : The presented analytical framework presents a semicontinuous diagnostic tool in the area of mental disorders, specifically applicable to bipolar disorder with corresponding manic episode indexing.

摘要

本文探讨了使用可穿戴传感器提供的大数据结合基于本构数学框架的后续复杂性中尺度数据投影,用分析工具取代精神障碍主观评估的可能性。所提出的方法基于复杂性/分形方法与随机优化的结合,产生数字精神生物标志物(DMBs)。分析索引可以有效地增强青年躁狂评定量表、DSM-5标准或结构化访谈诊断。这种分析方法使我们能够对精神障碍的演变进行预测,并对双相情感障碍发作随时间的进展进行后续概率表征。所提出的分析框架在精神障碍领域提供了一种半连续诊断工具,特别适用于伴有相应躁狂发作索引的双相情感障碍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4396/11989241/17fd296c4f07/jcm-14-02159-g009.jpg
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本文引用的文献

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Cariprazine Augmentation in Treatment-Resistant Bipolar Depression: Data from a Retrospective Observational Study.卡立普嗪用于难治性双相抑郁的增效治疗:一项回顾性观察研究的数据
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