Charithea Stylianides

According to our database, Charithea Stylianides authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

AI Advances in ICU with an Emphasis on Sepsis Prediction: An Overview.

Charithea Stylianides, Andria Nicolaou, Waqar A. Sulaiman, Christina-Athanasia I. Alexandropoulou, Ilias E. Panagiotopoulos, Konstantina Karathanasopoulou, George Dimitrakopoulos, Styliani Kleanthous, Eleni Politi, Dimitris Ntalaperas, Xanthi S. Papageorgiou, Fransisco Garcia, Zinonas C. Antoniou, Nikos Ioannides, Lakis Palazis, Anna Vavlitou, Marios S. Pattichis, Constantinos S. Pattichis, Andreas S. Panayides

Mach. Learn. Knowl. Extr., 2025

Fairness-Aware Graph Neural Networks for ICU Length of Stay Prediction in IoT-Enabled Environments.

Angelos-Christos Maroudis, Konstantina Karathanasopoulou, Charithea Stylianides, George Dimitrakopoulos, Andreas S. Panayides

IEEE Access, 2025

2024

Leveraging machine learning and rule extraction for enhanced transparency in emergency department length of stay prediction.

Waqar A. Sulaiman, Charithea Stylianides, Andria Nikolaou, Zinonas C. Antoniou, Ioannis Constantinou, Lakis Palazis, Anna Vavlitou, Theodoros Kyprianou, Efthyvoulos Kyriacou, Antonis C. Kakas, Marios S. Pattichis, Andreas S. Panayides, Constantinos S. Pattichis

Frontiers Digit. Health, 2024

Emergency Department Length of Stay Classification Based on Ensemble Methods and Rule Extraction.

Waqar Aziz, Andria Nicalaou, Charithea Stylianides, Andreas Panayides, Antonis C. Kakas, Efthyvoulos C. Kyriacou, Constantinos S. Pattichis

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

Time-varying compartmental models with neural networks for pandemic infection forecasting.

Marianna Karapitta, Andreas Kasis, Charithea Stylianides, Kleanthis Malialis, Panayiotis Kolios

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023

A Study of Data-Driven Methods for Adaptive Forecasting of COVID-19 Cases.

Charithea Stylianides, Kleanthis Malialis, Panayiotis Kolios

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

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

Christina-Athanasia I. Alexandropoulou, Ilias E. Panagiotopoulos, Styliani Kleanthous, George Dimitrakopoulos, Ioannis Constantinou, Elena Politi, Dimitrios Ntalaperas, Xanthi S. Papageorgiou, Charithea Stylianides, Nikos Ioannides, Lakis Palazis, Constantinos S. Pattichis, Andreas S. Panayides

Proceedings of the 19th IEEE International Conference on e-Science, 2023