DWELL 2015 - International Workshop on Data Mining Methods for Health and Wellbeing

The goal of this Workshop is to bring together researchers
and students from the areas of quantified?-self and data mining. Accepted papers should
provide insights for employing existing or developing novel data analytics methods for
modeling quantified-self information. The Workshop is highly relevant to the goals of PETRA,
since it intends to “marry” the areas data mining and quantified-self towards a healthier and
more health?aware society.
Contributions to our Workshop should be relevant but not necessarily limited to the following topics:
predictive modeling for quantified-self
systems and applications for collecting quantified ?self-information
privacy preserving data mining for health and wellbeing
data mining methods for health care
distributed data storage for quantified-self data
high? performance data analytics for health and wellbeing
data mining methods for analyzing health records
early? detection and/or prevention of serious diseases and/or disorders
Organizers for “DWELL” Workshop:
Panagiotis Papapetrou
Associate Professor
Stockholm University
NOD Building, Borgarfjordsgatan 12, Postbox 7003, 164 07 Kista
panagiotis-AT-dsv.su.se
+46732704371
http://people.dsv.su.se/~panagiotis/
Lars Asker
Associate Professor
Stockholm University
NOD Building, Borg
Isak Karlsson
PhD Candidate
Stockholm University
NOD Building, Borgarfjordsgatan 12, Postbox 7003, 164 07 Kista
isak?kar-AT-dsv.su.se
http://people.dsv.su.se/~isak?kar