Correction to: Ecological momentary assessment (EMA) combined with unsupervised machine learning shows sensitivity to identify individuals in potential need for psychiatric assessment.

IF 3.5 3区医学 Q1 CLINICAL NEUROLOGY

European Archives of Psychiatry and Clinical Neuroscience Pub Date : 2024-11-15 DOI:10.1007/s00406-024-01939-0

Julian Wenzel, Nils Dreschke, Esther Hanssen, Marlene Rosen, Andrej Ilankovic, Joseph Kambeitz, Anne-Kathrin Fett, Lana Kambeitz-Ilankovic

引用次数: 0

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更正为生态瞬间评估（EMA）与无监督机器学习相结合，显示出识别可能需要进行精神病评估的个体的灵敏度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

European Archives of Psychiatry and Clinical Neuroscience 医学-精神病学

CiteScore

8.80

自引率

4.30%

发文量

154

审稿时长

6-12 weeks

期刊介绍： The original papers published in the European Archives of Psychiatry and Clinical Neuroscience deal with all aspects of psychiatry and related clinical neuroscience. Clinical psychiatry, psychopathology, epidemiology as well as brain imaging, neuropathological, neurophysiological, neurochemical and moleculargenetic studies of psychiatric disorders are among the topics covered. Thus both the clinician and the neuroscientist are provided with a handy source of information on important scientific developments.