Publications for Data Mining in Epidemiological Studies
- Anne Rother, Uli Niemann, Tommy Hielscher, Henry Völzke, Till Ittermann, and Myra Spiliopoulou.
Assessing the difficulty of annotating medical data in crowdworking with help of experiments. PLOS ONE, (16)7:1-26, Public Library of Science, July 2021. URL
- Paras Multani, Uli Niemann, Mario Cypko, Jens-Peter Kühn, Henry Völzke, Steffen Oeltze-Jafra, and Myra Spiliopoulou.
Building a Bayesian Network to Understand the Interplay of Variables in an Epidemiological Population-Based Study. Proc. of the 31th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS18), 88-93, 2018.
- Shiva Alemzadeh, Tommy Hielscher, Uli Niemann, Lena Cibulski, Till Ittermann, Henry Völzke, Myra Spiliopoulou, and Bernhard Preim.
Subpopulation Discovery and Validation in Epidemiological Data. In
Michael Sedlmair, and Christian Tominski (Eds.),
EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association, 2017.
- Uli Niemann, Myra Spiliopoulou, Bernhard Preim, Till Ittermann, and Henry Völzke.
Combining Subgroup Discovery and Clustering to Identify Diverse Subpopulations in Cohort Study Data. Proc. of the 30th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS17), 582-587, 2017.
- Shiva Alemzadeh, Uli Niemann, Till Ittermann, Henry Völzke, Daniel Schneider, Myra Spiliopoulou, and Bernhard Preim.
Visual Analytics of Missing Data in Epidemiological Cohort Studies. Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM), 43-52, 2017.
- Miro Schleicher, Till Ittermann, Uli Niemann, Henry Völzke, and Myra Spiliopoulou.
ICE: Interactive Classification Rule Exploration on Epidemiological Data. Proc. of the 30th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS17), 606-611, Thessaloniki, Greece, 2017.
- Uli Niemann, Tommy Hielscher, Myra Spiliopoulou, Henry Völzke, and Jens-Peter Kühn.
Can we classify the participants of a longitudinal epidemiological study from their previous evolution?. Proc. of the 28th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS15), 121-126, IEEE, São Carlos and Ribeirão Preto, Brazil, June 2015. URL
- Tommy Hielscher, Myra Spiliopoulou, Henry Völzke, and Jens-Peter Kühn.
Mining longitudinal epidemiological data to understand
a reversible disorder. Proc. of the 13th Int. Symposium on Intelligent Data Analysis (IDA'14), Springer, Leuven, Belgium, 2014.
- Uli Niemann, Henry Völzke, Jens-Peter Kühn, and Myra Spiliopoulou.
Learning and inspecting classification rules from longitudinal epidemiological data to identify predictive features on hepatic steatosis. Expert Systems with Applications, (41)11:5405-5415, Elsevier BV, September 2014. URL
- Uli Niemann, Myra Spiliopoulou, Henry Völzke, and Jens-Peter Kühn.
Subpopulation Discovery in Epidemiological Data with Subspace Clustering. Foundations of Computing and Decision Sciences (FCDS), (39)4:271-300, 2014. URL
- Tommy Hielscher, Myra Spiliopoulou, Henry Völzke, and Jens-Peter Kühn.
Using Participant Similarity for the Classification of Epidemiological Data on Hepatic Steatosis. Proc. of the 27th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS14), IEEE, Mount Sinai, NY, 2014. URL
- Uli Niemann, Myra Spiliopoulou, Henry Völzke, and Jens-Peter Kühn.
Interactive Medical Miner: Interactively Exploring Subpopulations in Epidemiological Datasets. In
Calders et al. (Eds.),
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014) - DEMO TRACK, (8726):460-463, Springer Berlin Heidelberg, 2014. URL
