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Titlebook: Microcomputers in Medicine; P. D. Coleridge Smith (Senior Lecturer in Surgical Conference proceedings 1988 Springer-Verlag Berlin Heidelbe

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書(shū)目名稱(chēng)Microcomputers in Medicine
編輯P. D. Coleridge Smith (Senior Lecturer in Surgical
視頻videohttp://file.papertrans.cn/634/633160/633160.mp4
圖書(shū)封面Titlebook: Microcomputers in Medicine;  P. D. Coleridge Smith (Senior Lecturer in Surgical Conference proceedings 1988 Springer-Verlag Berlin Heidelbe
描述This book is based on the proceedings of the fourth Medical Microcomputer Workshop held at the Middlesex Hospital Medical School on 3-5 September 1986. The workshop was attended by clinicians and computer scientists with an interest in applying computer technology to current medical practice. The problems ranged from audit and patient management through to the more complex applications of data analysis obtained from current diagnos- tic techniques. The choice of microcomputers has never been greater with low cost making them readily available. A single microcomputer has limita- tions in clinical practice and the use of networks for multi-user tasks has expanded its capability but increased the complexity both in terms of hardware and the software needed to run it. Although comprehensive commercial packages are available, none of these are entirely suitable for medical applications without modification. Many of the chapters presented in this book describe the problems encountered and the solutions achieved by configuring and modifying applications software.
出版日期Conference proceedings 1988
關(guān)鍵詞Computers in Medicine; Laboratory; assessment; development; education; management; medicine; mortality; nutr
版次1
doihttps://doi.org/10.1007/978-1-4471-1613-4
isbn_softcover978-1-4471-1615-8
isbn_ebook978-1-4471-1613-4
copyrightSpringer-Verlag Berlin Heidelberg 1988
The information of publication is updating

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J. D. Holdsworths for which the KBS gives an incorrect solution. These tools generally employ greedy hill climbing to search the space of possible refinements. Typically refinement algorithms are iterative and at each iteration chooses a fix having the best impact on the faulty KBS. This impact is ascertained by an
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S. J. Nixons of these programs will share some of the knowledge they need to carry out their tasks. If there was a way in which this knowledge could be structured and stored in a repository so that it would be easy to browse, then some of these knowledge components could be reused to specify new intelligent sy
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J. R. Coughlan,M. J. Taylor,W. A. Corbett,R. Shieldss for which the KBS gives an incorrect solution. These tools generally employ greedy hill climbing to search the space of possible refinements. Typically refinement algorithms are iterative and at each iteration chooses a fix having the best impact on the faulty KBS. This impact is ascertained by an
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S. L. Smith,M. C. Fairhurst,S. W. Kelly,J. S. R. Baxter Conference on Knowledge Based Systems and Applied ArtifIcial Intelligence, held in Cambridge in December 200 l, together with an invited keynote paper by Professor Derek Sleeman. The conference was organised by SGES, the British Computer Society Specialist Group on Knowledge Based Systems and Appli
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S. Stock. The advantage is that in problem-solving applications of the induced decision tree, the relevance of an attribute or test can be explained in terms of the strategy it was selected to support, such as confirming a target outcome class or eliminating a competing outcome class. However, it is possibl
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D. J. Birnie,N. W. T. Harradine,D. Barnardsignificant effect on the performance of genetic search. In this paper, a statistics-based adaptive non-uniform mutation (SANUM) is presented within which the probability that each gene will subject to mutation is learnt adaptively over time and over the loci. As a search algorithm based on mechanis
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S. Shamiernational Conference on the theory, practice and application of Artificial Intelligence, held in Cambridge in December 2003. The conference was organised by SGAI, the British Computer Society Specialist Group on Artificial Intelligence (previously known as SGES). The papers in this volume present n
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