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The potential of machine learning models to identify malnutrition diagnosed by GLIM combined with NRS-2002 in colorectal cancer patients without weight loss information
Research article (Clinical Nutrition, 2024) · cited 15× · AI/ML
The potential of machine learning models to identify malnutrition diagnosed by GLIM combined with NRS-2002 in colorectal cancer patients without weight loss information
Summary
The potential of machine learning models to identify malnutrition diagnosed by GLIM combined with NRS-2002 in colorectal cancer patients without weight loss information is a scholarly article[1].
Key Facts
The potential of machine learning models to identify malnutrition diagnosed by GLIM combined with NRS-2002 in colorectal cancer patients without weight loss information's instance of is recorded as scholarly article[2].
References
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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). The potential of machine learning models to identify malnutrition diagnosed by GLIM combined with NRS-2002 in colorectal cancer patients without weight loss information. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-potential-of-machine-learning-models-to-identify-malnutrition-diagnosed-by-glim-combined-with-nrs-2002-in-colorectal
MLA“The potential of machine learning models to identify malnutrition diagnosed by GLIM combined with NRS-2002 in colorectal cancer patients without weight loss information.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-potential-of-machine-learning-models-to-identify-malnutrition-diagnosed-by-glim-combined-with-nrs-2002-in-colorectal.
BibTeX@misc{4ortxyz_the-potential-of-machine-learning-models-to-identify-malnutrition-diagnosed-by-glim-combined-with-nrs-2002-in-colorectal_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The potential of machine learning models to identify malnutrition diagnosed by GLIM combined with NRS-2002 in colorectal cancer patients without weight loss information}}, year = {2026}, url = {https://4ort.xyz/entity/the-potential-of-machine-learning-models-to-identify-malnutrition-diagnosed-by-glim-combined-with-nrs-2002-in-colorectal}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The potential of machine learning models to identify malnutrition diagnosed by GLIM combined with NRS-2002 in colorectal cancer patients without weight loss information — https://4ort.xyz/entity/the-potential-of-machine-learning-models-to-identify-malnutrition-diagnosed-by-glim-combined-with-nrs-2002-in-colorectal (retrieved 2026-05-24)