A novel self-adaptive method for improving patient monitoring with composite early-warning scores-Reference-Cited by-同舟云学术

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A novel self-adaptive method for improving patient monitoring with composite early-warning scores

Published:2022-12-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Big Data (Big Data)
language:
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Author:

Paganelli Antonio Iyda¹,Velmovitsky Pedro Elkind²,Branco Adriano¹,Endler Markus¹,Morita Plinio Pelegrini²,Alencar Paulo³,Cowan Donald³

Affiliation:

1. Pontifical Catholic University of Rio de Janeiro,Informatics Department,Rio de Janeiro,Brazil

2. University of Waterloo,School of Public Health Sciences,Waterloo,Canada

3. University of Waterloo,David R. Cheriton School of Computer Science,Waterloo,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10020192/10020156/10021046.pdf?arnumber=10021046

Reference35 articles.

1. Effect of an automated notification system for deteriorating ward patients on clinical outcomes

2. A National Online Survey on the Effectiveness of Clinical Alarms

3. Artificial Intelligence Technologies for Coping with Alarm Fatigue in Hospital Environments Because of Sensory Overload: Algorithm Development and Validation

4. Alarm Fatigue

5. Wearable Health Devices in Health Care: Narrative Systematic Review

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. Assessing Energy Consumption in Data Acquisition from Smart Wearable Sensors in IoT-Based Health Applications;2022 IEEE International Conference on Big Data (Big Data);2022-12-17

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