標題: Titlebook: Anonymization of Electronic Medical Records to Support Clinical Analysis; Aris Gkoulalas-Divanis,Grigorios Loukides Book 2013 The Author(s [打印本頁] 作者: Interjection 時間: 2025-3-21 16:20
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書目名稱Anonymization of Electronic Medical Records to Support Clinical Analysis讀者反饋
書目名稱Anonymization of Electronic Medical Records to Support Clinical Analysis讀者反饋學科排名
作者: Eosinophils 時間: 2025-3-21 22:31
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.作者: 搬運工 時間: 2025-3-22 03:00 作者: muffler 時間: 2025-3-22 06:23
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.作者: 憤怒歷史 時間: 2025-3-22 09:26
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.作者: 忍耐 時間: 2025-3-22 16:44
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.作者: 對待 時間: 2025-3-22 18:36 作者: 一大群 時間: 2025-3-22 22:15 作者: Bereavement 時間: 2025-3-23 05:24 作者: 連系 時間: 2025-3-23 05:49
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作者: DECRY 時間: 2025-3-23 09:45 作者: Debark 時間: 2025-3-23 15:06 作者: STALE 時間: 2025-3-23 18:49 作者: 供過于求 時間: 2025-3-23 23:17 作者: 公豬 時間: 2025-3-24 03:46
Introduction,rate the need for sharing such data, in a privacy-preserving way, to support a growing number of medical applications. Subsequently, we consider ., a threat that has led to violations of patients’ privacy. We discuss the challenges that forestalling patient re-identification entails, as well as how 作者: Myocyte 時間: 2025-3-24 10:16
Overview of Patient Data Anonymization,ion principles that can prevent identity and sensitive information disclosure in demographic data publishing, as well as algorithms for enforcing these principles, in Section.1. Subsequently, in Section 2.2, we turn our attention to diagnosis code anonymization, which, somewhat surprisingly, has not作者: Thyroxine 時間: 2025-3-24 13:22 作者: 漫不經(jīng)心 時間: 2025-3-24 18:41
Preventing Re-identification While Supporting GWAS,Wide Association Studies (GWAS). After motivating the problem in Sect. 4.1, we provide an overview of an approach that deals with it [5, 9] in Sects. 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 genomi作者: medium 時間: 2025-3-24 22:02 作者: 折磨 時間: 2025-3-24 23:27
Conclusions and Open Research Challenges, data sharing policies and regulations, which serve as a first line of defence but are unable to provide computational privacy guarantees, and then reviewed several anonymization approaches that can be used to prevent this threat. Specifically, we have surveyed anonymization principles and algorithm作者: 賭博 時間: 2025-3-25 04:50 作者: 斗爭 時間: 2025-3-25 08:39 作者: 鴿子 時間: 2025-3-25 12:41 作者: 緩解 時間: 2025-3-25 17:33
Der Sinn der aktuellen Qualifikationsaufgabeion principles that can prevent identity and sensitive information disclosure in demographic data publishing, as well as algorithms for enforcing these principles, in Section.1. Subsequently, in Section 2.2, we turn our attention to diagnosis code anonymization, which, somewhat surprisingly, has not作者: Pert敏捷 時間: 2025-3-25 22:06
Ganzheitliches Lernen ist ma?geschneiderthed data with external, identified datasets, based on diagnosis codes. After motivating the need to prevent the attack, we discuss the type of datasets that are involved in the attack, in Sect. 3.2. Then, a measure that quantifies the susceptibility of a dataset to the attack, as well as a study of 作者: 不怕任性 時間: 2025-3-26 00:24
Die vier Ebenen des QualifikationserfolgesWide Association Studies (GWAS). After motivating the problem in Sect. 4.1, we provide an overview of an approach that deals with it [5, 9] in Sects. 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 genomi作者: 全面 時間: 2025-3-26 04:54
Rotraut Michelmann,Walter U. Michelmann on diagnosis codes, to re-identify patients and infer their DNA sequences. Section 5.1 discusses the characteristics of the electronic medical record datasets that were used in the case study, while Sect. 5.2 demonstrates that a popular suppression-based strategy may not prevent the attack consider作者: Coeval 時間: 2025-3-26 11:53
Rotraut Michelmann,Walter U. Michelmann data sharing policies and regulations, which serve as a first line of defence but are unable to provide computational privacy guarantees, and then reviewed several anonymization approaches that can be used to prevent this threat. Specifically, we have surveyed anonymization principles and algorithm作者: dysphagia 時間: 2025-3-26 15:09
Aris Gkoulalas-Divanis,Grigorios LoukidesIncludes supplementary material: 作者: POLYP 時間: 2025-3-26 18:28
SpringerBriefs in Electrical and Computer Engineeringhttp://image.papertrans.cn/a/image/158040.jpg作者: 大方一點 時間: 2025-3-27 00:20 作者: Myofibrils 時間: 2025-3-27 04:42
Anonymization of Electronic Medical Records to Support Clinical Analysis作者: 兇猛 時間: 2025-3-27 05:31 作者: Introduction 時間: 2025-3-27 09:46
9樓作者: narcotic 時間: 2025-3-27 15:32
10樓作者: 不連貫 時間: 2025-3-27 17:50
10樓作者: 顯微鏡 時間: 2025-3-28 00:08
10樓作者: Postulate 時間: 2025-3-28 03:06
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