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Product Description
Modern medicine generates, almost daily, huge amounts of heterogeneous data. For example, medical data may contain SPECT images, signals like ECG, clinical information like temperature, cholesterol levels, etc., as well as the physician's interpretation. Those who deal with such data understand that there is a widening gap between data collection and data comprehension. Computerized techniques are needed to help humans address this problem. This volume is devoted to the relatively young and growing field of medical data mining and knowledge discovery. As more and more medical procedures employ imaging as a preferred diagnostic tool, there is a need to develop methods for efficient mining in databases of images. Other significant features are security and confidentiality concerns. Moreover, the physician's interpretation of images, signals, or other technical data, is written in unstructured English which is very difficult to mine. This book addresses all these specific features.
Book Info
Univ. of Colorado, Denver. A text offering computerized techniques that are helping to close a human error gap between data collection and data comprehension in medical data mining and discovery. Also discusses security and confidentiality issues paramount when dealing with medical data.
Modern medicine generates, almost daily, huge amounts of heterogeneous data. For example, medical data may contain SPECT images, signals like ECG, clinical information like temperature, cholesterol levels, etc., as well as the physician's interpretation. Those who deal with such data understand that there is a widening gap between data collection and data comprehension. Computerized techniques are needed to help humans address this problem. This volume is devoted to the relatively young and growing field of medical data mining and knowledge discovery. As more and more medical procedures employ imaging as a preferred diagnostic tool, there is a need to develop methods for efficient mining in databases of images. Other significant features are security and confidentiality concerns. Moreover, the physician's interpretation of images, signals, or other technical data, is written in unstructured English which is very difficult to mine. This book addresses all these specific features.
Book Info
Univ. of Colorado, Denver. A text offering computerized techniques that are helping to close a human error gap between data collection and data comprehension in medical data mining and discovery. Also discusses security and confidentiality issues paramount when dealing with medical data.
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- Biological and Medical Data Analysis: 5th International Symposium, ISBMDA 2004, Barcelona, Spain, November 18-19, 2004, Proceedings (Lecture Notes in Computer Science) by José María Barreiro on page 241, and page 354
- Computational Intelligence Processing in Medical Diagnosis (Studies in Fuzziness and Soft Computing) by Manfred Schmitt on page 44
- Radial Basis Function Networks 2: New Advances in Design (Studies in Fuzziness and Soft Computing) by Robert J. Howlett in Front Matter
- Computational Intelligence in Games (Studies in Fuzziness and Soft Computing) by Norio Baba in Front Matter
- Fuzzy Modeling and Control (Studies in Fuzziness and Soft Computing) by Andrzej Piegat in Front Matter
See all 26 books citing this book