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Data Mining in the Medical Domain
Details
This book deals with the Ac4ft-Miner data mining procedure, implemented in the LISp-Miner system, which has been developed at the Department of Information and Knowledge Engineering at the University of Economics, Prague. This procedure is based on association rules; however, it finds the rules that express which actions should be performed to improve the defined state (e.g. to improve the successfulness of a medical treatment). The first goal of the paper is to describe the procedure in a simple and understandable way. The second goal is to apply the procedure to the medical data and present examples of the usage of the procedure. Finally, I aim to create a usage methodology for doctors. Chapter 1 characterises the overall process of knowledge discovery in databases. Chapter 2 presents theoretical concepts related to the Ac4ft-Miner. Chapter 3 deals with action rules. Chapter 4 addresses possibilities for defining the input and interpretation of the output of the Ac4ft-Miner. Chapter 5 describes the research conducted on a real medical data set and gives examples of the tasks solved by the procedure. Finally, chapter 6 offers the Ac4ft-Miner usage methodology for doctors.
Autorentext
Bc. et Bc. Viktor Nekvapil: Studied International Trade and Informatics at the University of Economics, Prague. Currently, he studies Information Technologies at the same university. E-mail:
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783838398181
- Sprache Englisch
- Größe H220mm x B150mm x T5mm
- Jahr 2010
- EAN 9783838398181
- Format Kartonierter Einband
- ISBN 3838398181
- Veröffentlichung 11.10.2010
- Titel Data Mining in the Medical Domain
- Autor Viktor Nekvapil
- Untertitel Using the Ac4ft-Miner Procedure
- Gewicht 125g
- Herausgeber LAP LAMBERT Academic Publishing
- Anzahl Seiten 72
- Genre Informatik