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Enhanced ovarian cancer survival prediction using temporal analysis and graph neural networks

Research article (BMC Medical Informatics and Decision Making, 2024) · cited 13× · AI/ML
academia openalex:W4403301212
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Enhanced ovarian cancer survival prediction using temporal analysis and graph neural networks

Summary

Enhanced ovarian cancer survival prediction using temporal analysis and graph neural networks is a scholarly article[1].

Key Facts

  • Enhanced ovarian cancer survival prediction using temporal analysis and graph neural networks's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Enhanced ovarian cancer survival prediction using temporal analysis and graph neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhanced-ovarian-cancer-survival-prediction-using-temporal-analysis-and-graph-neural-networks
MLA “Enhanced ovarian cancer survival prediction using temporal analysis and graph neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhanced-ovarian-cancer-survival-prediction-using-temporal-analysis-and-graph-neural-networks.
BibTeX @misc{4ortxyz_enhanced-ovarian-cancer-survival-prediction-using-temporal-analysis-and-graph-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhanced ovarian cancer survival prediction using temporal analysis and graph neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/enhanced-ovarian-cancer-survival-prediction-using-temporal-analysis-and-graph-neural-networks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhanced ovarian cancer survival prediction using temporal analysis and graph neural networks — https://4ort.xyz/entity/enhanced-ovarian-cancer-survival-prediction-using-temporal-analysis-and-graph-neural-networks (retrieved 2026-05-24)

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