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Titlebook: Anonymization of Electronic Medical Records to Support Clinical Analysis; Aris Gkoulalas-Divanis,Grigorios Loukides Book 2013 The Author(s

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發(fā)表于 2025-3-21 16:20:13 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Anonymization of Electronic Medical Records to Support Clinical Analysis
影響因子2023Aris Gkoulalas-Divanis,Grigorios Loukides
視頻videohttp://file.papertrans.cn/159/158040/158040.mp4
發(fā)行地址Includes supplementary material:
學(xué)科分類SpringerBriefs in Electrical and Computer Engineering
圖書封面Titlebook: Anonymization of Electronic Medical Records to Support Clinical Analysis;  Aris Gkoulalas-Divanis,Grigorios Loukides Book 2013 The Author(s
影響因子.Anonymization of Electronic Medical Records to Support Clinical Analysis closely examines the privacy threats that may arise from medical data sharing, and surveys the state-of-the-art methods developed to safeguard data against these threats. .To motivate the need for computational methods, the book first explores the main challenges facing the privacy-protection of medical data using the existing policies, practices and regulations. Then, it takes an in-depth look at the popular computational privacy-preserving methods that have been developed for demographic, clinical and genomic data sharing, and closely analyzes the privacy principles behind these methods, as well as the optimization and algorithmic strategies that they employ. Finally, through a series of in-depth case studies that highlight data from the US Census as well as the Vanderbilt University Medical Center, the book outlines a new, innovative class of privacy-preserving methods designed to ensure the integrityof transferred medical data for subsequent analysis, such as discovering or validating associations between clinical and genomic information. .Anonymization of Electronic Medical Records to Support Clinical An
Pindex Book 2013
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發(fā)表于 2025-3-21 22:31:11 | 只看該作者
Warum Schule und Uni erfolglos bleibenthreat that has led to violations of patients’ privacy. We discuss the challenges that forestalling patient re-identification entails, as well as how these challenges are addressed by current research. Last, we provide a summary of the topics that will be examined in the remainder of the book.
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發(fā)表于 2025-3-22 06:23:50 | 只看該作者
Rotraut Michelmann,Walter U. Michelmann datasets that were used in the case study, while Sect. 5.2 demonstrates that a popular suppression-based strategy may not prevent the attack considered in Chapter 3 without producing excessively distorted data. This is contrast to the algorithms presented in Chap. 3, as it is explained in Sect. 5.3.
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發(fā)表于 2025-3-22 09:26:12 | 只看該作者
Introduction,threat that has led to violations of patients’ privacy. We discuss the challenges that forestalling patient re-identification entails, as well as how these challenges are addressed by current research. Last, we provide a summary of the topics that will be examined in the remainder of the book.
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發(fā)表于 2025-3-22 16:44:16 | 只看該作者
Preventing Re-identification While Supporting GWAS,4.2 and 4.3. This approach extracts potentially linkable clinical features and modifies them in a way that they can no longer be used to link a genomic sequence to a small number of patients, while preserving the associations between genomic sequences and specific sets of clinical features corresponding to GWAS-related diseases.
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發(fā)表于 2025-3-23 05:49:00 | 只看該作者
Book 2013g, and surveys the state-of-the-art methods developed to safeguard data against these threats. .To motivate the need for computational methods, the book first explores the main challenges facing the privacy-protection of medical data using the existing policies, practices and regulations. Then, it t
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