Publications by Alevtina Dubovitskaya

Trusted 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 ...

IEEE2018

Privacy - Preserving Data Exchange and Aggregation in Healthcare

Alevtina Dubovitskaya

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 ...

EPFL2018

TUCUXI: TUCUXI: An Intelligent System for Personalized Medicine from Individualization of Treatments to Research Databases and Back

Karl Aberer, Alevtina Dubovitskaya, Yann Thoma, Michael Ignaz Schumacher, Thierry Buclin

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 ...

2017

A 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 Corporation2016

An 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

A 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 Publishing2015