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Data Mining in Medicine

In: Machine Learning for Data Science Handbook

Author

Listed:
  • Beatrice Amico

    (University of Verona, Department of Computer Science)

  • Carlo Combi

    (University of Verona, Department of Computer Science)

  • Yuval Shahar

    (Ben-Gurion University of the Negev, Department of Information Systems Engineering)

Abstract

Clinical databases collect large volumes of information. Relationships and patterns within these data could provide new medical knowledge. Data mining has as major objective the discovery of knowledge from large amounts of data, offers many possibilities for identifying different data features less visible or hidden to common analysis techniques. This chapter focuses on a selection of techniques and illustrates their applicability to medical diagnostic and prognostic problems.

Suggested Citation

  • Beatrice Amico & Carlo Combi & Yuval Shahar, 2023. "Data Mining in Medicine," Springer Books, in: Lior Rokach & Oded Maimon & Erez Shmueli (ed.), Machine Learning for Data Science Handbook, edition 0, pages 607-636, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-24628-9_27
    DOI: 10.1007/978-3-031-24628-9_27
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