Data Mining in Medicine

Beatrice Amico (), Carlo Combi () and Yuval Shahar ()
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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

A chapter in Machine Learning for Data Science Handbook, 2023, pp 607-636 from Springer

Abstract: 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.

Keywords: Knowledge discovery; Machine learning; Deep learning; Temporal data mining (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-24628-9_27

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DOI: 10.1007/978-3-031-24628-9_27

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