Determining Electroconvulsive Therapy Response With Machine Learning-Reference-Cited by-同舟云学术

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Determining Electroconvulsive Therapy Response With Machine Learning

Published:2016-06-01 Issue:6 Volume:73 Page:545
ISSN:2168-622X
Container-title:JAMA Psychiatry
language:en
Short-container-title:JAMA Psychiatry

Author:

Abbott Christopher C.¹,Loo Dyani¹,Sui Jing²

Affiliation:

1. Department of Psychiatry, University of New Mexico School of Medicine, Albuquerque

2. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China3The Mind Research Network, Albuquerque, New Mexico

Publisher

American Medical Association (AMA)

Subject

Psychiatry and Mental health

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning in Electroconvulsive Therapy;The Journal of ECT;2024-06-10

2. Individual Prediction of Remission Based on Clinical Features Following Electroconvulsive Therapy;The Journal of Clinical Psychiatry;2022-08-24

3. Predicting Individual Remission After Electroconvulsive Therapy Based on Structural Magnetic Resonance Imaging;The Journal of ECT;2020-02-29

4. Alterations in resting-state functional connectivity in substance use disorders and treatment implications;Progress in Neuro-Psychopharmacology and Biological Psychiatry;2019-04

5. Internet-Based Management for Depressive Disorder;Advances in Experimental Medicine and Biology;2019

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