Prediction of response to repetitive transcranial magnetic stimulation for major depressive disorder using hybrid Convolutional recurrent neural networks and raw Electroencephalogram Signal

Research article (Cognitive Neurodynamics, 2022) · cited 16× · AI/ML
Press Enter · cited answer in seconds

Prediction of response to repetitive transcranial magnetic stimulation for major depressive disorder using hybrid Convolutional recurrent neural networks and raw Electroencephalogram Signal

Summary

Prediction of response to repetitive transcranial magnetic stimulation for major depressive disorder using hybrid Convolutional recurrent neural networks and raw Electroencephalogram Signal is a scholarly article[1].

Key Facts

  • Prediction of response to repetitive transcranial magnetic stimulation for major depressive disorder using hybrid Convolutional recurrent neural networks and raw Electroencephalogram Signal's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Prediction of response to repetitive transcranial magnetic stimulation for major depressive disorder using hybrid Convolutional recurrent neural networks and raw Electroencephalogram Signal. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-response-to-repetitive-transcranial-magnetic-stimulation-for-major-depressive-disorder-using-hybrid-convol
MLA “Prediction of response to repetitive transcranial magnetic stimulation for major depressive disorder using hybrid Convolutional recurrent neural networks and raw Electroencephalogram Signal.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-of-response-to-repetitive-transcranial-magnetic-stimulation-for-major-depressive-disorder-using-hybrid-convol.
BibTeX @misc{4ortxyz_prediction-of-response-to-repetitive-transcranial-magnetic-stimulation-for-major-depressive-disorder-using-hybrid-convol_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of response to repetitive transcranial magnetic stimulation for major depressive disorder using hybrid Convolutional recurrent neural networks and raw Electroencephalogram Signal}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-response-to-repetitive-transcranial-magnetic-stimulation-for-major-depressive-disorder-using-hybrid-convol}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Prediction of response to repetitive transcranial magnetic stimulation for major depressive disorder using hybrid Convolutional recurrent neural networks and raw Electroencephalogram Signal — https://4ort.xyz/entity/prediction-of-response-to-repetitive-transcranial-magnetic-stimulation-for-major-depressive-disorder-using-hybrid-convol (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/prediction-of-response-to-repetitive-transcranial-magnetic-stimulation-for-major-depressive-disorder-using-hybrid-convol · Last refreshed: