Machine Learning Approaches to Predict Repetitive Transcranial Magnetic Stimulation Treatment Response in Major Depressive Disorder
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-56991-8_29
Reference39 articles.
1. Trivedi, M., Morris, D., Grannemann, B., et al.: Symptom clusters as predictors of late response to antidepressant treatment. J. Clin. Psychiatry 66, 1064–1070 (2005)
2. Bares, M., Brunovsky, M., Novak, T., et al.: The change of prefrontal QEEG theta cordance as a predictor of response to bupropion treatment in patients who had failed to respond to previous antidepressant treatments. Eur. Neuropsychopharmacol. 20, 459–466 (2010)
3. O’Reardon, J., Solvason, H., et al.: Efficacy and safety of transcranial magnetic stimulation in the acute treatment of major depression: a multisite randomized controlled trial. Biol. Psychiatry 62, 1208–1216 (2007)
4. Im, C., Lee, C.: computer-aided performance evaluation of a multichannel transcranial magnetic stimulation system. IEEE Trans. Mag. 42, 3803–3808 (2006)
5. Price, G., Lee, J., Garvey, C.: Appraisal of sessional EEG features as a correlate of clinical changes in an rTMS treatment of depression. Clin. EEG Neurosci. 39, 131–138 (2008)
Cited by 5 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. How to Solve Clinical Challenges in Mood Disorders; Machine Learning Approaches Using Electrophysiological Markers;Clinical Psychopharmacology and Neuroscience;2024-05-03
2. Prediction of treatment outcome for repetitive transcranial magnetic stimulation in major depressive disorder using connectivity measures and ensemble of pre-trained deep learning models;Biomedical Signal Processing and Control;2023-08
3. Effectiveness of Mental Health Care by Using Machine Learning on Manufacturing Worker;International Journal of Precision Engineering and Manufacturing-Smart Technology;2023-07-01
4. A convolutional recurrent neural network with attention for response prediction to repetitive transcranial magnetic stimulation in major depressive disorder;Scientific Reports;2023-06-22
5. Predicting treatment response using EEG in major depressive disorder: A machine-learning meta-analysis;Translational Psychiatry;2022-08-12
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3