Konstantina Tsarapatsani

According to our database, Konstantina Tsarapatsani authored at least 8 papers between 2021 and 2025.

Collaborative distances:

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

2025

Development of Machine Learning Models for Predicting Effectiveness and Adherence in Cardiac Rehabilitation.

Konstantina-Helen Tsarapatsani, Vasilis D. Tsakanikas, Boris Schmitz, Antonis I. Sakellarios, Manuela Sestayo-Fernández, Carlos Peña-Gil, George K. Matsopoulos, Dimitrios I. Fotiadis

IEEE J. Biomed. Health Informatics, December, 2025

A Multidimensional Framework for Data Quality Assessment in Heart Failure: Integrating IEEE 2801-2022 and Fairness Metrics.

Marina Georgoula, Grigorios G. Kotoulas, Konstantina-Helen Tsarapatsani, Dimitrios G. Boucharas, Ioannis Kyprakis, Dimitrios Manousos, Andrej Preveden, Lazar U. Velicki, Amy Groenewegen, Frans Rutten, Borut Flis, Matej Piculin, Peter Vracar, Zoran Bosnic, Maria Tafelmeier, Lars S. Maier, Fausto Barlocco, Iacopo Olivotto, Marta Jimenez-Blanco, Jose Luis Zamorano, Duncan Edwards, Prithwish Banerjee, Nduka C. Okwose, Sarah Charman, Djordje G. Jakovljevic, Manolis Tsiknakis, Dimitrios I. Fotiadis

Proceedings of the 25th IEEE International Conference on Bioinformatics and Bioengineering, 2025

2024

Heart Failure: Machine Learning Prediction Within a 5-Year Framework.

Konstantina-Helen Tsarapatsani, Vassilios D. Tsakanikas, Antonis I. Sakellarios, Hans J. Trampisch, Efterpi Karapintzou, Henrik Rudolf, George K. Matsopoulos, Dimitrios I. Fotiadis

Proceedings of the 24th IEEE International Conference on Bioinformatics and Bioengineering, 2024

2023

Machine Learning Models Predict the Need of Amputation and/or Peripheral Artery Revascularization in Hypertensive Patients Within 7-Years Follow-Up.

Konstantina Tsarapatsani, Antonis I. Sakellarios, Vassilis D. Tsakanikas, Hans J. Trampisch, Henrik Rudolf, Nikolaos S. Tachos, Marcus E. Kleber, Winfried März, Dimitrios I. Fotiadis

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Machine Learning Models Predict Fatal Myocardial Infarction Within 10-Years Follow-Up Utilizing Explainable AI.

Konstantina Tsarapatsani, Antonis I. Sakellarios, Vasilis D. Tsakanikas, Marcus E. Kleber, Winfried März, Dimitrios I. Fotiadis

Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023

2022

Machine Learning Models for Cardiovascular Disease Events Prediction.

Konstantina Tsarapatsani, Antonis I. Sakellarios, Vasileios C. Pezoulas, Vassilis D. Tsakanikas, Marcus E. Kleber, Winfried März, Lampros K. Michalis, Dimitrios I. Fotiadis

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Machine Learning Models to Predict Myocardial Infarction Within 10-Years Follow-up of Cardiovascular Disease Progression.

Konstantina Tsarapatsani, Antonis I. Sakellarios, Vasileios C. Pezoulas, Vasilis D. Tsakanikas, George K. Matsopoulos, Winfried März, Marcus E. Kleber, Dimitrios I. Fotiadis

Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021

A proof-of-concept study for the prediction of the de-novo atherosclerotic plaque development using finite elements^*.

Antonis I. Sakellarios, Panagiota Tsompou, Vassiliki Kigka, Gianna E. Karanasiou, Konstantina Tsarapatsani, Savvas K. Kyriakidis, Georgia S. Karanasiou, Panagiotis K. Siogkas, Sotiris Nikopoulos, Silvia Rocchiccioli, Gualtiero Pelosi, Lampros K. Michalis, Dimitrios I. Fotiadis

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021