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Updated: Feb 15, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

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Personalized risk prediction of postoperative cognitive impairment - rationale for the EU-funded BioCog project

G Winterer1, G Androsova2, O Bender3

  • 1Experimental and Clinical Research Center (ECRC), Charité - Universitätsmedizin Berlin, Berlin, Germany; Department of Anesthesiology and Intensive Care Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany; Pharmaimage Biomarker Solutions GmbH, Berlin, Germany.

European Psychiatry : the Journal of the Association of European Psychiatrists
|February 6, 2018
PubMed

Keywords:
Molecular biomarkersMultivariate prediction algorithmNeuroimagingPostoperative cognitive dysfunctionPostoperative delirium

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