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A document level neural model integrated domain knowledge for chemical-induced disease relations

Research article (BMC Bioinformatics, 2018) · cited 13× · AI/ML
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A document level neural model integrated domain knowledge for chemical-induced disease relations

Summary

A document level neural model integrated domain knowledge for chemical-induced disease relations is a scholarly article[1].

Key Facts

  • A document level neural model integrated domain knowledge for chemical-induced disease relations'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). A document level neural model integrated domain knowledge for chemical-induced disease relations. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-document-level-neural-model-integrated-domain-knowledge-for-chemical-induced-disease-relations
MLA “A document level neural model integrated domain knowledge for chemical-induced disease relations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-document-level-neural-model-integrated-domain-knowledge-for-chemical-induced-disease-relations.
BibTeX @misc{4ortxyz_a-document-level-neural-model-integrated-domain-knowledge-for-chemical-induced-disease-relations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A document level neural model integrated domain knowledge for chemical-induced disease relations}}, year = {2026}, url = {https://4ort.xyz/entity/a-document-level-neural-model-integrated-domain-knowledge-for-chemical-induced-disease-relations}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A document level neural model integrated domain knowledge for chemical-induced disease relations — https://4ort.xyz/entity/a-document-level-neural-model-integrated-domain-knowledge-for-chemical-induced-disease-relations (retrieved 2026-05-24)

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