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Titlebook: Information and Software Technologies; 23rd International C Robertas Damaševičius,Vilma Mikašytė Conference proceedings 2017 Springer Inter

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发表于 2025-3-21 18:40:57 | 显示全部楼层 |阅读模式
书目名称Information and Software Technologies
副标题23rd International C
编辑Robertas Damaševičius,Vilma Mikašytė
视频video
概述Includes supplementary material:
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Information and Software Technologies; 23rd International C Robertas Damaševičius,Vilma Mikašytė Conference proceedings 2017 Springer Inter
描述This book constitutes the refereed proceedings of the 23nd International Conference on Information and Software Technologies, ICIST 2017, held in Druskininkai, Lithuania, in October 2017..The 51 papers presented were carefully reviewed and selected from 135 submissions. The papers are organized in topical sections on information systems; business intelligence for information and software systems; software engineering; information technology applications.
出版日期Conference proceedings 2017
关键词algorithms; artificial intelligence; classification; computer networks; data mining; decision support sys
版次1
doihttps://doi.org/10.1007/978-3-319-67642-5
isbn_softcover978-3-319-67641-8
isbn_ebook978-3-319-67642-5Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviewson, we combine established natural-language-processing techniques such as named entity recognition as well as handcrafted patterns to achieve a high detection accuracy. That way, we can help websites to increase privacy protection by recognizing and uncovering apparently uncritical information in user-generated texts.
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Investigation of Predicting Functional Capacity Level for Huntington Disease Patientstion. Moreover, the processes of preparing and labeling data, choosing a learning algorithm, training particular neural network, evaluating and comparing each model performance, making predictions on new data, are described in the paper.
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Improved Watershed Algorithm for CT Liver Segmentation Using Intraclass Variance Minimizatione. The merging criteria were proposed to maximize the disparity between the liver regions and the background and in the same time to keep the variance of the gray-level in the liver regions under certain threshold. The algorithm achieved 91% overall accuracy when evaluated using CT images from the MICCAI dataset.
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AHP Model for Quality Evaluation of Healthcare Systemindicators by applying expert based AHP (Analytic Hierarchy Process) method and the regression analysis of health statistics. The rankings of EU countries according to their healthcare investment types and costs were developed and evaluated.
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