Data Mining and Medical Knowledge Management : Cases and Applications

Petr Berka

ISBN 10: 1605662186 / ISBN 13: 9781605662183

Verlag: Medical Information Science Reference, 2009

Beschreibung

nach der Bestellung gedruckt Neuware - Printed after ordering - The healthcare industry produces a constant flow of data, creating a need for deep analysis of databases through data mining tools and techniques resulting in expanded medical research, diagnosis, and treatment. Data Mining and Medical Knowledge Management: Cases and Applications presents case studies on applications of various modern data mining methods in several important areas of medicine, covering classical data mining methods, elaborated approaches related to mining in electroencephalogram and electrocardiogram data, and methods related to mining in genetic data. A premier resource for those involved in data mining and medical knowledge management, this book tackles ethical issues related to cost-sensitive learning in medicine and produces theoretical contributions concerning general problems of data, information, knowledge, and ontologies.

Bestandsnummer des Verkäufers 9781605662183

Bibliografische Details

• Titel: Data Mining and Medical Knowledge Management : Cases and Applications
• Verlag: Medical Information Science Reference
• Erscheinungsjahr: 2009
• Sprache: Englisch
• ISBN-10: 1605662186
• ISBN-13: 9781605662183
• Einband: Buch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

The healthcare industry produces a constant flow of data, creating a need for deep analysis of databases through data mining tools and techniques resulting in expanded medical research, diagnosis, and treatment. Data Mining and Medical Knowledge Management: Cases and Applications presents case studies on applications of various modern data mining methods in several important areas of medicine, covering classical data mining methods, elaborated approaches related to mining in electroencephalogram and electrocardiogram data, and methods related to mining in genetic data. A premier resource for those involved in data mining and medical knowledge management, this book tackles ethical issues related to cost-sensitive learning in medicine and produces theoretical contributions concerning general problems of data, information, knowledge, and ontologies.