Home ›
Entities
› academia
› Real-world data to build explainable trustworthy artificial intelligence models for prediction of immunotherapy efficacy in NSCLC patients
Real-world data to build explainable trustworthy artificial intelligence models for prediction of immunotherapy efficacy in NSCLC patients
Research article (Frontiers in Oncology, 2023) · cited 34× · AI/ML
Real-world data to build explainable trustworthy artificial intelligence models for prediction of immunotherapy efficacy in NSCLC patients
Summary
Real-world data to build explainable trustworthy artificial intelligence models for prediction of immunotherapy efficacy in NSCLC patients is a scholarly article[1].
Key Facts
Real-world data to build explainable trustworthy artificial intelligence models for prediction of immunotherapy efficacy in NSCLC patients'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). Real-world data to build explainable trustworthy artificial intelligence models for prediction of immunotherapy efficacy in NSCLC patients. Retrieved May 24, 2026, from https://4ort.xyz/entity/real-world-data-to-build-explainable-trustworthy-artificial-intelligence-models-for-prediction-of-immunotherapy-efficacy
MLA“Real-world data to build explainable trustworthy artificial intelligence models for prediction of immunotherapy efficacy in NSCLC patients.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/real-world-data-to-build-explainable-trustworthy-artificial-intelligence-models-for-prediction-of-immunotherapy-efficacy.
BibTeX@misc{4ortxyz_real-world-data-to-build-explainable-trustworthy-artificial-intelligence-models-for-prediction-of-immunotherapy-efficacy_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Real-world data to build explainable trustworthy artificial intelligence models for prediction of immunotherapy efficacy in NSCLC patients}}, year = {2026}, url = {https://4ort.xyz/entity/real-world-data-to-build-explainable-trustworthy-artificial-intelligence-models-for-prediction-of-immunotherapy-efficacy}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Real-world data to build explainable trustworthy artificial intelligence models for prediction of immunotherapy efficacy in NSCLC patients — https://4ort.xyz/entity/real-world-data-to-build-explainable-trustworthy-artificial-intelligence-models-for-prediction-of-immunotherapy-efficacy (retrieved 2026-05-24)
