It takes the average reader 7 hours and 51 minutes to read Data Mining and Medical Knowledge Management: Cases and Applications by Berka, Petr
Assuming a reading speed of 250 words per minute. Learn more
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.
Data Mining and Medical Knowledge Management: Cases and Applications by Berka, Petr is 464 pages long, and a total of 117,856 words.
This makes it 157% the length of the average book. It also has 144% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 10 hours and 44 minutes to read Data Mining and Medical Knowledge Management: Cases and Applications aloud.
Data Mining and Medical Knowledge Management: Cases and Applications is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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