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Towards an environment for data mining based analysis processes in bioinformatics & personalized medicine

: Wegener, Dennis; Rossi, Simona; Buffa, Francesca; Delorenzi, Mauro; Rüping, Stefan

Postprint urn:nbn:de:0011-n-1926747 (176 KByte PDF)
MD5 Fingerprint: 8725a84a8d7b521d4a025f724706b19f
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Created on: 18.2.2012

Institute of Electrical and Electronics Engineers -IEEE-; IEEE Computer Society:
IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011 : 12-15 November 2011, Atlanta, GA, USA
New York, NY: IEEE, 2011
ISBN: 978-1-4577-1612-6
ISBN: 978-1-4577-1613-3
International Conference on Bioinformatics and Biomedicine (BIBMW) <2011, Atlanta/Ga.>
Conference Paper, Electronic Publication
Fraunhofer IAIS ()
data mining; scientific data analysis; integration; E-health; Bioinformatics; evaluation

Bioinformatics and data mining procedures are collaborating to implement and evaluate tools and procedures for prediction of disease recurrence and progression, response to treatment, as well as new insights into various oncogenic pathways [1], [2], [3], [4] by taking into account the user needs and their heterogeneity. Based on these advances, medicine is undergoing a revolution that is even transforming the nature of health care from reactive to proactive [5]. The p-medicine ( consortium is creating a biomedical platform to facilitate the translation from current practice to a predictive, personalized, preventive, participatory and psycho-cognitive medicine by integrating VPH models, clinical practice, imaging and genomics data. In this paper, we present the challenges for data mining based analysis in bio- and medical informatics and our approach towards a data mining environment addressing these requirements in the p-medicine platform.