| 書(shū)目名稱 | Medical Data Analysis | | 副標(biāo)題 | First International | | 編輯 | Rüdiger W. Brause,Ernst Hanisch | | 視頻video | http://file.papertrans.cn/630/629138/629138.mp4 | | 概述 | Includes supplementary material: | | 叢書(shū)名稱 | Lecture Notes in Computer Science | | 圖書(shū)封面 |  | | 描述 | It is a pleasure for us to present the contributions of the First International Symposium on Medical Data Analysis. Traditionally, the eld of medical data analysis can be devided into classical topics such as medical statistics, sur- val analysis, biometrics and medical informatics. Recently, however, time series analysis by physicists, machine learning and data mining with methods such as neural networks, Bayes networks or fuzzy computing by computer scientists have contributed important ideas to the led of medical data analysis. Although all these groups have similar intentions, there was nearly no exchange or discussion between them. With the growing possibilities for storing and ana- zing patient data, even in smaller health care institutions, the need for a rational treatment of all these data emerged as well. Therefore, the need for data exchange and presentation systems grew also. The goal of the symposium is to collect all these relevant aspects together. It provides an international forum for the sharing and exchange of original re- arch results, ideas and practical experiences among researchers and application developers from di erent areas related to medical applications | | 出版日期 | Conference proceedings 2000 | | 關(guān)鍵詞 | Analysis; Bayesian network; algorithms; data analysis; data mining; fuzzy; learning; machine learning; medic | | 版次 | 1 | | doi | https://doi.org/10.1007/3-540-39949-6 | | isbn_softcover | 978-3-540-41089-8 | | isbn_ebook | 978-3-540-39949-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer-Verlag Berlin Heidelberg 2000 |
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