Triage of in vivo burn injuries and prediction of wound healing outcome using neural networks and modeling of the terahertz permittivity based on the double Debye dielectric parameters

Research article (Biomedical Optics Express, 2022) · cited 27× · AI/ML
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Triage of in vivo burn injuries and prediction of wound healing outcome using neural networks and modeling of the terahertz permittivity based on the double Debye dielectric parameters

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Triage of in vivo burn injuries and prediction of wound healing outcome using neural networks and modeling of the terahertz permittivity based on the double Debye dielectric parameters is a scholarly article[1].

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  • Triage of in vivo burn injuries and prediction of wound healing outcome using neural networks and modeling of the terahertz permittivity based on the double Debye dielectric parameters's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Triage of in vivo burn injuries and prediction of wound healing outcome using neural networks and modeling of the terahertz permittivity based on the double Debye dielectric parameters. Retrieved May 24, 2026, from https://4ort.xyz/entity/triage-of-in-vivo-burn-injuries-and-prediction-of-wound-healing-outcome-using-neural-networks-and-modeling-of-the-terahe
MLA “Triage of in vivo burn injuries and prediction of wound healing outcome using neural networks and modeling of the terahertz permittivity based on the double Debye dielectric parameters.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/triage-of-in-vivo-burn-injuries-and-prediction-of-wound-healing-outcome-using-neural-networks-and-modeling-of-the-terahe.
BibTeX @misc{4ortxyz_triage-of-in-vivo-burn-injuries-and-prediction-of-wound-healing-outcome-using-neural-networks-and-modeling-of-the-terahe_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Triage of in vivo burn injuries and prediction of wound healing outcome using neural networks and modeling of the terahertz permittivity based on the double Debye dielectric parameters}}, year = {2026}, url = {https://4ort.xyz/entity/triage-of-in-vivo-burn-injuries-and-prediction-of-wound-healing-outcome-using-neural-networks-and-modeling-of-the-terahe}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Triage of in vivo burn injuries and prediction of wound healing outcome using neural networks and modeling of the terahertz permittivity based on the double Debye dielectric parameters — https://4ort.xyz/entity/triage-of-in-vivo-burn-injuries-and-prediction-of-wound-healing-outcome-using-neural-networks-and-modeling-of-the-terahe (retrieved 2026-05-24)

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