Analyzing Distinct Neural Network Models for Oxygen Saturation Prediction Towards a Personalized COPD Management-Reference-Cited by-同舟云学术

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Analyzing Distinct Neural Network Models for Oxygen Saturation Prediction Towards a Personalized COPD Management

Published:2023-10-09 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 19th International Conference on e-Science (e-Science)
language:
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Author:

Pascual Heribert¹,Masip-Bruin Xavier¹,Alonso Albert²,Blanco Isabel³

Affiliation:

1. UPC Barcelona Tech,Advanced Network Architectures Lab (CRAAX),Vilanova i la Geltrú,Spain

2. Fundació de Recerca Clínic Barcelona-IDIBAPS,Hospital Clínic de Barcelona,Barcelona,Spain

3. Hospital Clinic de Barcelona,Department of Pulmonary Medicine,Barcelona,Spain

Funder

Spanish Ministry of Science and Innovation

AEI

ERDF

SGR

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10254737/10254662/10254844.pdf?arnumber=10254844

Reference20 articles.

1. Predicting oxygen saturation levels in blood using autoregressive models: A threshold metric for evaluating predictive models

2. Effect of Automated Oxygen Titration during Walking on Dyspnea and Endurance in Chronic Hypoxemic Patients with COPD: A Randomized Crossover Trial

3. A novel dynamic model to predict abnormal oxygen desaturations in blood

4. Evaluating predictions of critical oxygen desaturation events

5. Fog-to-cloud Computing (F2C): The key technology enabler for dependable e-health services deployment

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Innovative Predictive Approach towards a Personalized Oxygen Dosing System;Sensors;2024-01-24

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