Home ›
Entities
› academia
› Optimization of an adverse outcome pathway network on chemical-induced cholestasis using an artificial intelligence-assisted data collection and confidence level quantification approach
Optimization of an adverse outcome pathway network on chemical-induced cholestasis using an artificial intelligence-assisted data collection and confidence level quantification approach
Research article (Journal of Biomedical Informatics, 2023) · cited 21× · AI/ML
Optimization of an adverse outcome pathway network on chemical-induced cholestasis using an artificial intelligence-assisted data collection and confidence level quantification approach
Summary
Optimization of an adverse outcome pathway network on chemical-induced cholestasis using an artificial intelligence-assisted data collection and confidence level quantification approach is a scholarly article[1].
Key Facts
Optimization of an adverse outcome pathway network on chemical-induced cholestasis using an artificial intelligence-assisted data collection and confidence level quantification approach's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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.
APA4ort.xyz Knowledge Graph. (2026). Optimization of an adverse outcome pathway network on chemical-induced cholestasis using an artificial intelligence-assisted data collection and confidence level quantification approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimization-of-an-adverse-outcome-pathway-network-on-chemical-induced-cholestasis-using-an-artificial-intelligence-assi
MLA“Optimization of an adverse outcome pathway network on chemical-induced cholestasis using an artificial intelligence-assisted data collection and confidence level quantification approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimization-of-an-adverse-outcome-pathway-network-on-chemical-induced-cholestasis-using-an-artificial-intelligence-assi.
BibTeX@misc{4ortxyz_optimization-of-an-adverse-outcome-pathway-network-on-chemical-induced-cholestasis-using-an-artificial-intelligence-assi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimization of an adverse outcome pathway network on chemical-induced cholestasis using an artificial intelligence-assisted data collection and confidence level quantification approach}}, year = {2026}, url = {https://4ort.xyz/entity/optimization-of-an-adverse-outcome-pathway-network-on-chemical-induced-cholestasis-using-an-artificial-intelligence-assi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Optimization of an adverse outcome pathway network on chemical-induced cholestasis using an artificial intelligence-assisted data collection and confidence level quantification approach — https://4ort.xyz/entity/optimization-of-an-adverse-outcome-pathway-network-on-chemical-induced-cholestasis-using-an-artificial-intelligence-assi (retrieved 2026-05-24)
