Prediction of rTMS treatment response in major depressive disorder using machine learning techniques and nonlinear features of EEG signal

Research article (Journal of Affective Disorders, 2019) · cited 118× · AI/ML
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Prediction of rTMS treatment response in major depressive disorder using machine learning techniques and nonlinear features of EEG signal

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Prediction of rTMS treatment response in major depressive disorder using machine learning techniques and nonlinear features of EEG signal is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Prediction of rTMS treatment response in major depressive disorder using machine learning techniques and nonlinear features of EEG signal. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-rtms-treatment-response-in-major-depressive-disorder-using-machine-learning-techniques-and-nonlinear-featu
MLA “Prediction of rTMS treatment response in major depressive disorder using machine learning techniques and nonlinear features of EEG signal.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-of-rtms-treatment-response-in-major-depressive-disorder-using-machine-learning-techniques-and-nonlinear-featu.
BibTeX @misc{4ortxyz_prediction-of-rtms-treatment-response-in-major-depressive-disorder-using-machine-learning-techniques-and-nonlinear-featu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of rTMS treatment response in major depressive disorder using machine learning techniques and nonlinear features of EEG signal}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-rtms-treatment-response-in-major-depressive-disorder-using-machine-learning-techniques-and-nonlinear-featu}, note = {Accessed: 2026-05-24}}
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