Prediction of Individual Response to Electroconvulsive Therapy via Machine Learning on Structural Magnetic Resonance Imaging Data-Reference-Cited by-同舟云学术

Prediction of Individual Response to Electroconvulsive Therapy via Machine Learning on Structural Magnetic Resonance Imaging Data

Published:2016-06-01 Issue:6 Volume:73 Page:557
ISSN:2168-622X
Container-title:JAMA Psychiatry
language:en
Short-container-title:JAMA Psychiatry

Author:

Redlich Ronny¹,Opel Nils¹,Grotegerd Dominik¹,Dohm Katharina¹,Zaremba Dario¹,Bürger Christian¹,Münker Sandra¹,Mühlmann Lisa¹,Wahl Patricia¹,Heindel Walter²,Arolt Volker¹,Alferink Judith³,Zwanzger Peter⁴,Zavorotnyy Maxim⁵,Kugel Harald²,Dannlowski Udo⁶

Affiliation:

1. Department of Psychiatry, University of Muenster, Muenster, Germany

2. Department of Clinical Radiology, University of Muenster, Muenster, Germany

3. Department of Psychiatry, University of Muenster, Muenster, Germany3Cells-in-Motion Cluster of Excellence, University of Muenster, Muenster, Germany

4. Department of Psychiatry, University of Muenster, Muenster, Germany4Department of Psychiatry, Inn-Salzach Hospital, Wasserburg am Inn, Germany

5. Department of Psychiatry, University of Marburg, Marburg, Germany

6. Department of Psychiatry, University of Muenster, Muenster, Germany5Department of Psychiatry, University of Marburg, Marburg, Germany

Publisher

American Medical Association (AMA)

Subject

Psychiatry and Mental health

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