High-Performance Data Mining for Drug Effect Detection

(in Swedish: Dataanalys för detektion av läkemedelseffekter, DADEL)

Duration: 2012-2016
Funding: 19 MSEK, Swedish Foundation for Strategic Research

Goal
The main goal of the project is to develop techniques and tools to support decision making and discovery of drug effects by analyzing patient records, drug registries, case safety reports and chemical compound data in the form of both structured and unstructured (free text) data.

The project will contribute with novel approaches to data mining and clinical text mining and develop a platform for large-scale analysis of massive, heterogeneous and continuously growing data sets.

Project team:

Henrik Boström (project leader), Stockholm University

Hercules Dalianis, Stockholm University

Lars Asker, Stockholm University

Ulf Johansson, University of Borås

Håkan Sundell, University of Borås

Martin Hassel, Stockholm University

Aron Henriksson, Stockholm University

Alyaa Alfalahi, Stockholm University

Thashmee Karunaratne, Stockholm University