% IMPORTANT: The following is UTF-8 encoded. This means that in the presence % of non-ASCII characters, it will not work with BibTeX 0.99 or older. % Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or % “biber”. @INBOOK{Apke:257354, author = {Apke, Alexander and Weil, Vera and Dörpinghaus, Jens and Schaaf, Sebastian}, title = {{K}nowledge {D}iscovery and {AI} {A}pproaches for the {L}ife {S}ciences; 1st ed. 2022}, volume = {112}, address = {Cham}, publisher = {Springer International Publishing}, reportid = {DZNE-2023-00423}, isbn = {978-3-031-08411-9}, series = {Studies in Big Data}, pages = {183-230}, year = {2022}, comment = {[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,}, booktitle = {[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,}, 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.}, cin = {AG Becker / AG Klockgether}, ddc = {620.00285}, cid = {I:(DE-2719)1013007 / I:(DE-2719)1011001}, pnm = {354 - Disease Prevention and Healthy Aging (POF4-354) / 353 - Clinical and Health Care Research (POF4-353)}, pid = {G:(DE-HGF)POF4-354 / G:(DE-HGF)POF4-353}, typ = {PUB:(DE-HGF)7}, doi = {10.1007/978-3-031-08411-9_7}, url = {https://pub.dzne.de/record/257354}, }