A Prediction Model of In-Patient Deteriorations Based on Passive Vital Signs Monitoring Technology
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9662654/9662645/09662864.pdf?arnumber=9662864
Reference6 articles.
1. Exercise Standards for Testing and Training
2. Predictive Monitoring of Mobile Patients by Combining Clinical Observations With Data From Wearable Sensors
3. Machine Learning–Based Early Warning Systems for Clinical Deterioration: Systematic Scoping Review
4. Validation of a combined comorbidity index
5. Minimal Impact of Implemented Early Warning Score and Best Practice Alert for Patient Deterioration*
Cited by 2 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. Introducing the Pi-CON Methodology to Overcome Usability Deficits during Remote Patient Monitoring;Sensors;2024-04-02
2. Applying user-centered design and the Pi-CON methodology for vital signs sensor development;Journal of Medical Engineering & Technology;2023-07-04
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