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Machine learning based classification model for screening of infected patients using vital signs

Research article (Informatics in Medicine Unlocked, 2021) · cited 11× · AI/ML
academia openalex:W3163644618
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Machine learning based classification model for screening of infected patients using vital signs

Summary

Machine learning based classification model for screening of infected patients using vital signs is a scholarly article[1].

Key Facts

  • Machine learning based classification model for screening of infected patients using vital signs's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Machine learning based classification model for screening of infected patients using vital signs. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-based-classification-model-for-screening-of-infected-patients-using-vital-signs
MLA “Machine learning based classification model for screening of infected patients using vital signs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-based-classification-model-for-screening-of-infected-patients-using-vital-signs.
BibTeX @misc{4ortxyz_machine-learning-based-classification-model-for-screening-of-infected-patients-using-vital-signs_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning based classification model for screening of infected patients using vital signs}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-based-classification-model-for-screening-of-infected-patients-using-vital-signs}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning based classification model for screening of infected patients using vital signs — https://4ort.xyz/entity/machine-learning-based-classification-model-for-screening-of-infected-patients-using-vital-signs (retrieved 2026-05-24)

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