Biomedical Text Mining: State-of-the-Art, Open Problems and Future Challenges

Andreas Holzinger; Johannes Schantl; Miriam Schroettner; Christin Seifert; Karin Verspoor

doi:10.1007/978-3-662-43968-5_16

Biomedical Text Mining: State-of-the-Art, Open Problems and Future Challenges

Andreas Holzinger, Johannes Schantl, Miriam Schroettner, Christin Seifert, Karin Verspoor

Institute of Interactive Systems and Data Science (7060)

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Original language	English
Title of host publication	Interactive Knowledge Discovery and Data Mining in Biomedical Informatics: State-of-the-Art and Future Challenges. Lecture Notes in Computer Science LNCS 8401
Place of Publication	Heidelberg, Berlin
Publisher	Springer
Pages	271-300
Edition	1
DOIs	https://doi.org/10.1007/978-3-662-43968-5_16
Publication status	Published - 2014

Fields of Expertise

Information, Communication & Computing

Treatment code (Nähere Zuordnung)

Basic - Fundamental (Grundlagenforschung)
Application
Theoretical

Access to Document

10.1007/978-3-662-43968-5_16

Holzinger et al (2014) Biomedial Text Mining LNCS 8401.pdfFinal published version, 648 KB

Cite this

Holzinger, A., Schantl, J., Schroettner, M., Seifert, C., & Verspoor, K. (2014). Biomedical Text Mining: State-of-the-Art, Open Problems and Future Challenges. In Interactive Knowledge Discovery and Data Mining in Biomedical Informatics: State-of-the-Art and Future Challenges. Lecture Notes in Computer Science LNCS 8401 (1 ed., pp. 271-300). Springer. https://doi.org/10.1007/978-3-662-43968-5_16

Biomedical Text Mining: State-of-the-Art, Open Problems and Future Challenges. / Holzinger, Andreas; Schantl, Johannes; Schroettner, Miriam et al.
Interactive Knowledge Discovery and Data Mining in Biomedical Informatics: State-of-the-Art and Future Challenges. Lecture Notes in Computer Science LNCS 8401. 1. ed. Heidelberg, Berlin: Springer, 2014. p. 271-300.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Holzinger, A, Schantl, J, Schroettner, M, Seifert, C & Verspoor, K 2014, Biomedical Text Mining: State-of-the-Art, Open Problems and Future Challenges. in Interactive Knowledge Discovery and Data Mining in Biomedical Informatics: State-of-the-Art and Future Challenges. Lecture Notes in Computer Science LNCS 8401. 1 edn, Springer, Heidelberg, Berlin, pp. 271-300. https://doi.org/10.1007/978-3-662-43968-5_16

Holzinger A, Schantl J, Schroettner M, Seifert C, Verspoor K. Biomedical Text Mining: State-of-the-Art, Open Problems and Future Challenges. In Interactive Knowledge Discovery and Data Mining in Biomedical Informatics: State-of-the-Art and Future Challenges. Lecture Notes in Computer Science LNCS 8401. 1 ed. Heidelberg, Berlin: Springer. 2014. p. 271-300 doi: 10.1007/978-3-662-43968-5_16

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Biomedical Text Mining: State-of-the-Art, Open Problems and Future Challenges

Fields of Expertise

Treatment code (Nähere Zuordnung)

Access to Document

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Cite this