Graph-theory based degree centrality combined with machine learning algorithms can predict response to treatment with antiepileptic medications in children with epilepsy

Research article (Journal of Clinical Neuroscience, 2021) · cited 31× · AI/ML
Press Enter · cited answer in seconds

Graph-theory based degree centrality combined with machine learning algorithms can predict response to treatment with antiepileptic medications in children with epilepsy

Summary

Graph-theory based degree centrality combined with machine learning algorithms can predict response to treatment with antiepileptic medications in children with epilepsy is a scholarly article[1].

Key Facts

  • Graph-theory based degree centrality combined with machine learning algorithms can predict response to treatment with antiepileptic medications in children with epilepsy'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). Graph-theory based degree centrality combined with machine learning algorithms can predict response to treatment with antiepileptic medications in children with epilepsy. Retrieved May 24, 2026, from https://4ort.xyz/entity/graph-theory-based-degree-centrality-combined-with-machine-learning-algorithms-can-predict-response-to-treatment-with-an
MLA “Graph-theory based degree centrality combined with machine learning algorithms can predict response to treatment with antiepileptic medications in children with epilepsy.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/graph-theory-based-degree-centrality-combined-with-machine-learning-algorithms-can-predict-response-to-treatment-with-an.
BibTeX @misc{4ortxyz_graph-theory-based-degree-centrality-combined-with-machine-learning-algorithms-can-predict-response-to-treatment-with-an_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Graph-theory based degree centrality combined with machine learning algorithms can predict response to treatment with antiepileptic medications in children with epilepsy}}, year = {2026}, url = {https://4ort.xyz/entity/graph-theory-based-degree-centrality-combined-with-machine-learning-algorithms-can-predict-response-to-treatment-with-an}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Graph-theory based degree centrality combined with machine learning algorithms can predict response to treatment with antiepileptic medications in children with epilepsy — https://4ort.xyz/entity/graph-theory-based-degree-centrality-combined-with-machine-learning-algorithms-can-predict-response-to-treatment-with-an (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/graph-theory-based-degree-centrality-combined-with-machine-learning-algorithms-can-predict-response-to-treatment-with-an · Last refreshed: