Enhancing the Early Warning Score System Using Data Confidence-Reference-Cited by-同舟云学术

Enhancing the Early Warning Score System Using Data Confidence

Published:2017 Issue: Volume: Page:91-99
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:
Short-container-title:

Author:

Götzinger Maximilian,Taherinejad Nima,Rahmani Amir M.,Liljeberg Pasi,Jantsch Axel,Tenhunen Hannu

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-58877-3_12

Reference17 articles.

1. Morgan, R., Williams, F., Wright, M.: An early warning scoring system for detecting developing critical illness. Clin. Intensive Care 8(2), 100 (1997)

2. Azimi, I., Anzanpour, A., Rahmani, A.M., Liljeberg, P., Tenhunen, H.: Self-aware early warning score system for IoT-based personalized healthcare. In: Proceedings of International Conference on IoT and Big Data Technologies for HealthCare (2016)

3. Jantsch, A., Tammemäe, K.: A framework of awareness for artificial subjects. In: 2014 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), pp. 1–3. IEEE (2014)

4. Götzinger, M., Rahmani, A., Pongratz, M., Liljeberg, P., Jantsch, A., Tenhunen, H.: The role of self-awareness and hierarchical agents in resource management for many-core systems. In: Many-core Systems-on-Chip (MCSoC) (2016)

5. TaheriNejad, N., Jantsch, A., Pollreisz, D.: Comprehensive observation and its role in self-awareness; an emotion recognition system example. In: The Federated Conference on Computer Science and Information Systems (FedCSIS), September 2016

Cited by 6 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. RecogNoise: Machine-Learning-Based Recognition of Noisy Segments in Electrocardiogram Signals;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

2. High-Accuracy Stress Detection Using Wrist-Worn PPG Sensors;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

3. Mobile Health Technology: From Daily Care and Pandemics to their Energy Consumption and Environmental Impact;Mobile Networks and Applications;2022-04

4. Blood Pressure Estimation Using a Single PPG Signal;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2021

5. Self-aware Cyber-Physical Systems;ACM Transactions on Cyber-Physical Systems;2020-10-31