Ekaterina Koledova

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 9

Top Topics

Clinical Practice

Top Venues

BMC Medical Informatics Decis. Mak.

Publications

Octavio Rivera Romero, Maria Felicia Faienza, Edoardo Vergani, Chantal Zucchiatti, Ekaterina Koledova
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. MIE (2023)
Amalia Spataru, Paula van Dommelen, Lilian Arnaud, Quentin Le Masne, Silvia Quarteroni, Ekaterina Koledova
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. BMC Medical Informatics Decis. Mak. 22 (1) (2022)
Kate Morgan, Paula van Dommelen, Ana-Rita Batista, Ekaterina Koledova
Observed High Adherence to Recombinant Human Growth Hormone Treatment Using a Multi-Component Approach to Improve Adherence in Individuals with Growth Disorders. MIE (2022)
Nea Boman, Luis Fernández-Luque, Ekaterina Koledova, Marketta Kause, Risto Lapatto
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. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Matheus Araújo, Paula van Dommelen, Jaideep Srivastava, Ekaterina Koledova
A Data-Driven Intervention Framework for Improving Adherence to Growth Hormone Therapy Based on Clustering Analysis and Traffic Light Alerting Systems. EFMI-STC (2021)
Amalia Spataru, Silvia Quarteroni, Lilian Arnaud, Paula van Dommelen, Ekaterina Koledova, Quentin Le Masne
High Engagement of Patients Monitored by a Digital Health Ecosystem Indicates Significant Improvements of Key r-hGH Treatment Metrics. MIE (2021)
Ekaterina Koledova, Quentin Le Masne, Amalia Spataru, Merat Bagha, David Dixon
Digital Health in the Management of Pediatric Growth Hormone Therapy - 10 Years of Developments. MIE (2021)
Matheus Araújo, Paula van Dommelen, Ekaterina Koledova, Jaideep Srivastava
Using Deep Learning for Individual-Level Predictions of Adherence with Growth Hormone Therapy. MIE (2021)
Ekaterina Koledova, Vincenzo Tornincasa, Paula van Dommelen
Analysis of real-world data on growth hormone therapy adherence using a connected injection device. BMC Medical Informatics Decis. Mak. 20 (1) (2020)