Medical Data Mining and Knowledge Discovery (2001)

Modern medicine generates, almost daily, huge amounts of heterogeneous data. For example, medical data may contain SPECT images, signals lik e 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 a nd data comprehension. Computerized techniques are needed to help huma ns address this problem. This volume is devoted to the relatively youn g and growing field of medical data mining and knowledge discovery. As more and more medical procedures employ imaging as a preferred diagno stic tool, there is a need to develop methods for efficient mining in databases of images. Other significant features are security and confi dentiality concerns. Moreover, the physician's interpretation of image s, signals, or other technical data, is written in unstructured Englis h which is very difficult to mine. This book addresses all these speci fic features.