Abstract
We will introduce the problem of classification in large cohort studies containing heterogeneous data. The data in a cohort study comes in separate groups, which can be turned on or off. Each group consists of data coming from one specific measurement instrument. We provide a “cross-sectional” investigation on this data to see the relative power of the different groups. We also propose a way of improving on the classification performance in individual cohort studies using other cohort studies by using an intuitive workflow approach.
Original language | English |
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Title of host publication | Leveraging Applications of Formal Methods, Verification and Validation - SpecializedTechniques andApplications - 6th International Symposium, ISoLA 2014, Proceedings |
Editors | Tiziana Margaria, Tiziana Margaria, Bernhard Steffen |
Publisher | Springer |
Pages | 407-419 |
Number of pages | 13 |
ISBN (Electronic) | 9783662452301 |
DOIs | |
Publication status | Published - 2014 |
Externally published | Yes |
Event | 6th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation, ISoLA 2014 - Imperial, Corfu, Greece Duration: 8 Oct 2014 → 11 Oct 2014 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 8803 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 6th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation, ISoLA 2014 |
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Country/Territory | Greece |
City | Imperial, Corfu |
Period | 8/10/14 → 11/10/14 |
Bibliographical note
Publisher Copyright:© Springer-Verlag Berlin Heidelberg 2014.
Keywords
- Classification
- Cohort studies
- Data mining
- Feature selection
- Machine learning
- Meta-analysis