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    Machine learning in medical applications

    Magoulas, George and Prentza, A. (2001) Machine learning in medical applications. In: Paliouras, G. and Karkaletsis, V. and Spyropoulos, C.D. (eds.) Machine Learning and Its Applications, Advanced Lectures. Lecture Notes in Computer Science 2049. Springer, pp. 300-307. ISBN 9783540424901.

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    Abstract

    Book synopsis: In recent years machine learning has made its way from artificial intelligence into areas of administration, commerce, and industry. Data mining is perhaps the most widely known demonstration of this migration, complemented by less publicized applications of machine learning like adaptive systems in industry, financial prediction, medical diagnosis and the construction of user profiles for Web browsers. This book presents the capabilities of machine learning methods and ideas on how these methods could be used to solve real-world problems. The first ten chapters assess the current state of the art of machine learning, from symbolic concept learning and conceptual clustering to case-based reasoning, neural networks, and genetic algorithms. The second part introduces the reader to innovative applications of ML techniques in fields such as data mining, knowledge discovery, human language technology, user modeling, data analysis, discovery science, agent technology, finance, etc.

    Metadata

    Item Type: Book Section
    School: School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Sarah Hall
    Date Deposited: 06 Jul 2021 11:09
    Last Modified: 06 Jul 2021 11:09
    URI: https://eprints.bbk.ac.uk/id/eprint/44986

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