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Towards the Identification of Disease Signatures

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9250))

Abstract

The identification of biological signatures of diseases will enable the development of new biologically grounded classifications of brain diseases, leading to a new systematic understanding of their causes, and new diagnostic tools. In this paper we present the challenges and steps taken towards the identification of disease signatures, through the Medical Informatics Platform of the Human Brain Project, that will expedite diagnosis and lead to more accurate prognosis and objective diagnosis.

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Correspondence to Tassos Venetis .

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Venetis, T. et al. (2015). Towards the Identification of Disease Signatures. In: Guo, Y., Friston, K., Aldo, F., Hill, S., Peng, H. (eds) Brain Informatics and Health. BIH 2015. Lecture Notes in Computer Science(), vol 9250. Springer, Cham. https://doi.org/10.1007/978-3-319-23344-4_15

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  • DOI: https://doi.org/10.1007/978-3-319-23344-4_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23343-7

  • Online ISBN: 978-3-319-23344-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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