Person
Alevtina Dubovitskaya
This person is no longer with EPFL
Related publications (6)
Privacy - Preserving Data Exchange and Aggregation in Healthcare
Medical data are often scattered among multiple clinics, hospitals, insurance companies, pharmacies, and research institutions that store and process personal healthcare information. The use of information and communication technologies for health (eHealth ...
EPFL2018Trusted Registration, Negotiation, and Service Evaluation in Multi-Agent Systems throughout the Blockchain Technology
Michael Ignaz Schumacher, Alevtina Dubovitskaya
Some recent trends in distributed intelligent systems rely extensively on agent-based approaches. The so-called Multi Agent Systems (MAS) are taking over the management of sensitive data on behalf of their producers and users (e.g., medical records, financ ...
IEEE2018TUCUXI: TUCUXI: An Intelligent System for Personalized Medicine from Individualization of Treatments to Research Databases and Back
Karl Aberer, Yann Thoma, Michael Ignaz Schumacher, Thierry Buclin, Alevtina Dubovitskaya
Therapeutic Drug Monitoring (TDM) is a key concept in precision medicine. The goal of TDM is to avoid therapeutic failure or toxic effects of a drug due to insufficient or excessive circulating concentration exposure related to between-patient variability ...
2017A Multiagent System for Dynamic Data Aggregation in Medical Research
Karl Aberer, Michael Ignaz Schumacher, Alevtina Dubovitskaya
The collection of medical data for research purposes is a challenging and long-lasting process. In an effort to accelerate and facilitate this process we propose a new framework for dynamic aggregation of medical data from distributed sources. We use agent ...
Hindawi Publishing Corporation2016A Cloud-Based eHealth Architecture for Privacy Preserving Data Integration
Karl Aberer, Michael Ignaz Schumacher, Matteo Vasirani, Alevtina Dubovitskaya
In this paper, we address the problem of building an anonymized medical database from multiple sources. Our proposed solution defines how to achieve data integration in a heterogeneous network of many clinical institutions, while preserving data utility an ...
Springer International Publishing2015An Agent Framework for Dynamic Health Data Aggregation for Research Purposes
Karl Aberer, Michael Ignaz Schumacher, Alevtina Dubovitskaya
This paper presents a model of a MAS framework for dynamic aggregation of population health data for research purposes. The contribution of the paper is twofold: First, it describes a MAS architecture that allows one to built on the fly anonymized database ...
2015