Home ›
Entities
› academia
› Evaluating machine learning-powered classification algorithms which utilize variants in the GCKR gene to predict metabolic syndrome: Tehran Cardio-metabolic Genetics Study
Evaluating machine learning-powered classification algorithms which utilize variants in the GCKR gene to predict metabolic syndrome: Tehran Cardio-metabolic Genetics Study
Research article (Journal of Translational Medicine, 2022) · cited 45× · AI/ML
Evaluating machine learning-powered classification algorithms which utilize variants in the GCKR gene to predict metabolic syndrome: Tehran Cardio-metabolic Genetics Study
Summary
Evaluating machine learning-powered classification algorithms which utilize variants in the GCKR gene to predict metabolic syndrome: Tehran Cardio-metabolic Genetics Study is a scholarly article[1].
Key Facts
Evaluating machine learning-powered classification algorithms which utilize variants in the GCKR gene to predict metabolic syndrome: Tehran Cardio-metabolic Genetics Study'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). Evaluating machine learning-powered classification algorithms which utilize variants in the GCKR gene to predict metabolic syndrome: Tehran Cardio-metabolic Genetics Study. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-machine-learning-powered-classification-algorithms-which-utilize-variants-in-the-gckr-gene-to-predict-metabol
MLA“Evaluating machine learning-powered classification algorithms which utilize variants in the GCKR gene to predict metabolic syndrome: Tehran Cardio-metabolic Genetics Study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-machine-learning-powered-classification-algorithms-which-utilize-variants-in-the-gckr-gene-to-predict-metabol.
BibTeX@misc{4ortxyz_evaluating-machine-learning-powered-classification-algorithms-which-utilize-variants-in-the-gckr-gene-to-predict-metabol_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating machine learning-powered classification algorithms which utilize variants in the GCKR gene to predict metabolic syndrome: Tehran Cardio-metabolic Genetics Study}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-machine-learning-powered-classification-algorithms-which-utilize-variants-in-the-gckr-gene-to-predict-metabol}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluating machine learning-powered classification algorithms which utilize variants in the GCKR gene to predict metabolic syndrome: Tehran Cardio-metabolic Genetics Study — https://4ort.xyz/entity/evaluating-machine-learning-powered-classification-algorithms-which-utilize-variants-in-the-gckr-gene-to-predict-metabol (retrieved 2026-05-24)