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Res-SE-ConvNet: A Deep Neural Network for Hypoxemia Severity Prediction for Hospital In-Patients Using Photoplethysmograph Signal
Research article (IEEE Journal of Translational Engineering in Health and Medicine, 2022) · cited 11× · AI/ML
Res-SE-ConvNet: A Deep Neural Network for Hypoxemia Severity Prediction for Hospital In-Patients Using Photoplethysmograph Signal
Summary
Res-SE-ConvNet: A Deep Neural Network for Hypoxemia Severity Prediction for Hospital In-Patients Using Photoplethysmograph Signal is a scholarly article[1].
Key Facts
Res-SE-ConvNet: A Deep Neural Network for Hypoxemia Severity Prediction for Hospital In-Patients Using Photoplethysmograph Signal's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Res-SE-ConvNet: A Deep Neural Network for Hypoxemia Severity Prediction for Hospital In-Patients Using Photoplethysmograph Signal. Retrieved May 24, 2026, from https://4ort.xyz/entity/res-se-convnet-a-deep-neural-network-for-hypoxemia-severity-prediction-for-hospital-in-patients-using-photoplethysmograp
MLA“Res-SE-ConvNet: A Deep Neural Network for Hypoxemia Severity Prediction for Hospital In-Patients Using Photoplethysmograph Signal.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/res-se-convnet-a-deep-neural-network-for-hypoxemia-severity-prediction-for-hospital-in-patients-using-photoplethysmograp.
BibTeX@misc{4ortxyz_res-se-convnet-a-deep-neural-network-for-hypoxemia-severity-prediction-for-hospital-in-patients-using-photoplethysmograp_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Res-SE-ConvNet: A Deep Neural Network for Hypoxemia Severity Prediction for Hospital In-Patients Using Photoplethysmograph Signal}}, year = {2026}, url = {https://4ort.xyz/entity/res-se-convnet-a-deep-neural-network-for-hypoxemia-severity-prediction-for-hospital-in-patients-using-photoplethysmograp}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Res-SE-ConvNet: A Deep Neural Network for Hypoxemia Severity Prediction for Hospital In-Patients Using Photoplethysmograph Signal — https://4ort.xyz/entity/res-se-convnet-a-deep-neural-network-for-hypoxemia-severity-prediction-for-hospital-in-patients-using-photoplethysmograp (retrieved 2026-05-24)
