Ekaterina Koledova

According to our database, Ekaterina Koledova authored at least 9 papers between 2020 and 2023.

Collaborative distances:

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

2023

Participatory Study to Explore Healthcare Professionals' Perceptions of a Connected Digital Solution for Adherence Monitoring of Recombinant Human Growth Hormone Treatment: Study Protocol and First Findings.

Octavio Rivera Romero, Maria Felicia Faienza, Edoardo Vergani, Chantal Zucchiatti, Ekaterina Koledova

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

2022

Use of machine learning to identify patients at risk of sub-optimal adherence: study based on real-world data from 10, 929 children using a connected auto-injector device.

Amalia Spataru, Paula van Dommelen, Lilian Arnaud, Quentin Le Masne, Silvia Quarteroni, Ekaterina Koledova

BMC Medical Informatics Decis. Mak., 2022

Observed High Adherence to Recombinant Human Growth Hormone Treatment Using a Multi-Component Approach to Improve Adherence in Individuals with Growth Disorders.

Kate Morgan, Paula van Dommelen, Ana-Rita Batista, Ekaterina Koledova

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

2021

Connected health for growth hormone treatment research and clinical practice: learnings from different sources of real-world evidence (RWE) - large electronically collected datasets, surveillance studies and individual patients' cases.

Nea Boman, Luis Fernández-Luque, Ekaterina Koledova, Marketta Kause, Risto Lapatto

BMC Medical Informatics Decis. Mak., 2021

High Engagement of Patients Monitored by a Digital Health Ecosystem Indicates Significant Improvements of Key r-hGH Treatment Metrics.

Amalia Spataru, Silvia Quarteroni, Lilian Arnaud, Paula van Dommelen, Ekaterina Koledova, Quentin Le Masne

Proceedings of the Public Health and Informatics, 2021

Digital Health in the Management of Pediatric Growth Hormone Therapy - 10 Years of Developments.

Ekaterina Koledova, Quentin Le Masne, Amalia Spataru, Merat Bagha, David Dixon

Proceedings of the Public Health and Informatics, 2021

Using Deep Learning for Individual-Level Predictions of Adherence with Growth Hormone Therapy.

Matheus Araújo, Paula van Dommelen, Ekaterina Koledova, Jaideep Srivastava

Proceedings of the Public Health and Informatics, 2021

A Data-Driven Intervention Framework for Improving Adherence to Growth Hormone Therapy Based on Clustering Analysis and Traffic Light Alerting Systems.

Matheus Araújo, Paula van Dommelen, Jaideep Srivastava, Ekaterina Koledova

Proceedings of the Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era, 2021

2020

Analysis of real-world data on growth hormone therapy adherence using a connected injection device.

Ekaterina Koledova, Vincenzo Tornincasa, Paula van Dommelen

BMC Medical Informatics Decis. Mak., 2020