Contribution to a book

DZNE-2023-00423

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Knowledge Discovery and AI Approaches for the Life Sciences

Apke, A. ; Weil, V. ; Dörpinghaus, J.DZNE* ; Schaaf, S. (Last author)DZNE*

2022
Springer International Publishing Cham
ISBN: 978-3-031-08411-9

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Please use a persistent id in citations: doi:10.1007/978-3-031-08411-9_7

Abstract: Knowledge Discovery and AI approaches for the Life Sciences is a widely used approach for several topics. The goal of this chapter is to give a short and understandable introduction to the foundations with examples and perspectives for these fields. We heavily focus on Knowledge, Knowledge Discovery and methods to be used in this context. We will discuss Knowledge representation, e.g. with XML and JSON, introduce some AI approaches, and finally discuss the impact on personalized medicine as an example use case within life sciences.

Keyword(s): Engineering—Data processing (LCSH) ; Bioinformatics (LCSH) ; Big data (LCSH) ; Computational intelligence (LCSH)

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Contributing Institute(s):

1. GenomMathematik in der Neuroepidemiologie (AG Becker)
2. Clinical Research Coordination (AG Klockgether)

Research Program(s):

1. 354 - Disease Prevention and Healthy Aging (POF4-354) (POF4-354)
2. 353 - Clinical and Health Care Research (POF4-353) (POF4-353)

Appears in the scientific report 2022

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