Home ›
Entities
› academia
› An interpretable machine learning model based on computed tomography radiomics for predicting programmed death ligand 1 expression status in gastric cancer
An interpretable machine learning model based on computed tomography radiomics for predicting programmed death ligand 1 expression status in gastric cancer
Research article (Cancer Imaging, 2025) · cited 10× · AI/ML
An interpretable machine learning model based on computed tomography radiomics for predicting programmed death ligand 1 expression status in gastric cancer
Summary
An interpretable machine learning model based on computed tomography radiomics for predicting programmed death ligand 1 expression status in gastric cancer is a scholarly article[1].
Key Facts
An interpretable machine learning model based on computed tomography radiomics for predicting programmed death ligand 1 expression status in gastric cancer'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). An interpretable machine learning model based on computed tomography radiomics for predicting programmed death ligand 1 expression status in gastric cancer. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-interpretable-machine-learning-model-based-on-computed-tomography-radiomics-for-predicting-programmed-death-ligand-1-
MLA“An interpretable machine learning model based on computed tomography radiomics for predicting programmed death ligand 1 expression status in gastric cancer.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-interpretable-machine-learning-model-based-on-computed-tomography-radiomics-for-predicting-programmed-death-ligand-1-.
BibTeX@misc{4ortxyz_an-interpretable-machine-learning-model-based-on-computed-tomography-radiomics-for-predicting-programmed-death-ligand-1-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An interpretable machine learning model based on computed tomography radiomics for predicting programmed death ligand 1 expression status in gastric cancer}}, year = {2026}, url = {https://4ort.xyz/entity/an-interpretable-machine-learning-model-based-on-computed-tomography-radiomics-for-predicting-programmed-death-ligand-1-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An interpretable machine learning model based on computed tomography radiomics for predicting programmed death ligand 1 expression status in gastric cancer — https://4ort.xyz/entity/an-interpretable-machine-learning-model-based-on-computed-tomography-radiomics-for-predicting-programmed-death-ligand-1- (retrieved 2026-05-24)
