Prediction of treatment outcome for repetitive transcranial magnetic stimulation in major depressive disorder using connectivity measures and ensemble of pre-trained deep learning models

Research article (Biomedical Signal Processing and Control, 2023) · cited 12× · AI/ML
Press Enter · cited answer in seconds

Prediction of treatment outcome for repetitive transcranial magnetic stimulation in major depressive disorder using connectivity measures and ensemble of pre-trained deep learning models

Summary

Prediction of treatment outcome for repetitive transcranial magnetic stimulation in major depressive disorder using connectivity measures and ensemble of pre-trained deep learning models is a scholarly article[1].

Key Facts

  • Prediction of treatment outcome for repetitive transcranial magnetic stimulation in major depressive disorder using connectivity measures and ensemble of pre-trained deep learning models'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 treatment outcome for repetitive transcranial magnetic stimulation in major depressive disorder using connectivity measures and ensemble of pre-trained deep learning models. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-treatment-outcome-for-repetitive-transcranial-magnetic-stimulation-in-major-depressive-disorder-using-conn
MLA “Prediction of treatment outcome for repetitive transcranial magnetic stimulation in major depressive disorder using connectivity measures and ensemble of pre-trained deep learning models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-of-treatment-outcome-for-repetitive-transcranial-magnetic-stimulation-in-major-depressive-disorder-using-conn.
BibTeX @misc{4ortxyz_prediction-of-treatment-outcome-for-repetitive-transcranial-magnetic-stimulation-in-major-depressive-disorder-using-conn_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of treatment outcome for repetitive transcranial magnetic stimulation in major depressive disorder using connectivity measures and ensemble of pre-trained deep learning models}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-treatment-outcome-for-repetitive-transcranial-magnetic-stimulation-in-major-depressive-disorder-using-conn}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Prediction of treatment outcome for repetitive transcranial magnetic stimulation in major depressive disorder using connectivity measures and ensemble of pre-trained deep learning models — https://4ort.xyz/entity/prediction-of-treatment-outcome-for-repetitive-transcranial-magnetic-stimulation-in-major-depressive-disorder-using-conn (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/prediction-of-treatment-outcome-for-repetitive-transcranial-magnetic-stimulation-in-major-depressive-disorder-using-conn · Last refreshed: