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Non-invasive glucose prediction and classification using NIR technology with machine learning

Research article (Heliyon, 2024) · cited 26× · AI/ML
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Non-invasive glucose prediction and classification using NIR technology with machine learning

Summary

Non-invasive glucose prediction and classification using NIR technology with machine learning is a scholarly article[1].

Key Facts

  • Non-invasive glucose prediction and classification using NIR technology with machine learning's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Non-invasive glucose prediction and classification using NIR technology with machine learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/non-invasive-glucose-prediction-and-classification-using-nir-technology-with-machine-learning
MLA “Non-invasive glucose prediction and classification using NIR technology with machine learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/non-invasive-glucose-prediction-and-classification-using-nir-technology-with-machine-learning.
BibTeX @misc{4ortxyz_non-invasive-glucose-prediction-and-classification-using-nir-technology-with-machine-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Non-invasive glucose prediction and classification using NIR technology with machine learning}}, year = {2026}, url = {https://4ort.xyz/entity/non-invasive-glucose-prediction-and-classification-using-nir-technology-with-machine-learning}, note = {Accessed: 2026-05-24}}
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