- We will send in 10–14 business days.
/images/books/11371057/9781605662183.jpg)
- Publisher: Medical Information Science Reference
- ISBN-10: 1605662186
- ISBN-13: 9781605662183
- Format: 22.1 x 28.5 x 3.3 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
Data Mining and Medical Knowledge Management (e-book) (used book) | bookbook.eu
Reviews
Description
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.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 21d.02:15:48
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Publisher: Medical Information Science Reference
- ISBN-10: 1605662186
- ISBN-13: 9781605662183
- Format: 22.1 x 28.5 x 3.3 cm, hardcover
- Language: English English
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.
Reviews