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000257354 037__ $$aDZNE-2023-00423
000257354 082__ $$a620.00285
000257354 1001_ $$aApke, Alexander$$b0
000257354 245__ $$aKnowledge Discovery and AI Approaches for the Life Sciences
000257354 250__ $$a1st ed. 2022
000257354 260__ $$aCham$$bSpringer International Publishing$$c2022
000257354 29510 $$a[Ebook] Computational Life Sciences : Data Engineering and Data Mining for Life Sciences / Dörpinghaus, Jens ; Weil, Vera ; Schaaf, Sebastian ; Apke, Alexander 1st ed. 2022, Cham : Springer International Publishing, 2022,
000257354 300__ $$a183-230
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000257354 4900_ $$aStudies in Big Data$$v112
000257354 520__ $$aKnowledge 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.
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000257354 650_0 $$aEngineering—Data processing
000257354 650_0 $$aBioinformatics
000257354 650_0 $$aBig data
000257354 650_0 $$aComputational intelligence
000257354 7001_ $$aWeil, Vera$$b1
000257354 7001_ $$0P:(DE-2719)2810719$$aDörpinghaus, Jens$$b2$$udzne
000257354 7001_ $$0P:(DE-2719)9002247$$aSchaaf, Sebastian$$b3$$eLast author$$udzne
000257354 773__ $$a10.1007/978-3-031-08411-9_7
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