AI-based solutions for predicting sepsis in ICUs-Reference-Cited by-同舟云学术

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AI-based solutions for predicting sepsis in ICUs

Published:2023-12-07 Issue: Volume:193 Page:163-164
ISSN:
Container-title:2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology
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Author:

Stylianides Charithea¹,Alexandropoulou Christina-Athanasia²,Sulaiman Waqar³,Panagiotopoulos Ilias²,Kleanthous Styliani¹,Dimitrakopoulos George²,Constantinou Ioannis⁴,Vassiliou Stavri⁴,Garcia Fransisco⁴,Politi Eleni⁵,Ntalaperas Dimitrios⁵,Papageorgiou Xanthi⁵,Ioannides Nikos⁶,Palazis Lakis⁶,Pattichis Constantinos S.¹,Panayides Andreas S.¹

Affiliation:

1. CYENS CoE,Cyprus

2. Harokopio University of Athens,Department of Informatics and Telematics,Greece

3. University of Cyprus,Department of Computer Science

4. 3aHealth,Research & Development Department,Cyprus

5. UBITECH Limited,Cyprus

6. State Health Services Organization,Cyprus

Funder

Research and Innovation Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10404092/10404107/10404309.pdf?arnumber=10404309

Reference5 articles.

1. AI-Enabled Solutions, Explainability and Ethical Concerns for Predicting Sepsis in ICUs: A Systematic Review

2. AI in Medical Imaging Informatics: Current Challenges and Future Directions

3. An Extensive Data Processing Pipeline for MIMIC-IV;Gupta

4. The International Patient Summary: Proposal for a National Implementation for Cyprus

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