Interjection 发表于 2025-3-21 16:20:13
书目名称Anonymization of Electronic Medical Records to Support Clinical Analysis影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0158040<br><br> <br><br>书目名称Anonymization of Electronic Medical Records to Support Clinical Analysis影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0158040<br><br> <br><br>书目名称Anonymization of Electronic Medical Records to Support Clinical Analysis网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0158040<br><br> <br><br>书目名称Anonymization of Electronic Medical Records to Support Clinical Analysis网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0158040<br><br> <br><br>书目名称Anonymization of Electronic Medical Records to Support Clinical Analysis被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0158040<br><br> <br><br>书目名称Anonymization of Electronic Medical Records to Support Clinical Analysis被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0158040<br><br> <br><br>书目名称Anonymization of Electronic Medical Records to Support Clinical Analysis年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0158040<br><br> <br><br>书目名称Anonymization of Electronic Medical Records to Support Clinical Analysis年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0158040<br><br> <br><br>书目名称Anonymization of Electronic Medical Records to Support Clinical Analysis读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0158040<br><br> <br><br>书目名称Anonymization of Electronic Medical Records to Support Clinical Analysis读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0158040<br><br> <br><br>Eosinophils 发表于 2025-3-21 22:31:11
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.搬运工 发表于 2025-3-22 03:00:00
http://reply.papertrans.cn/16/1581/158040/158040_3.pngmuffler 发表于 2025-3-22 06:23:50
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.愤怒历史 发表于 2025-3-22 09:26:12
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.忍耐 发表于 2025-3-22 16:44:16
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.对待 发表于 2025-3-22 18:36:39
http://reply.papertrans.cn/16/1581/158040/158040_7.png一大群 发表于 2025-3-22 22:15:29
http://reply.papertrans.cn/16/1581/158040/158040_8.pngBereavement 发表于 2025-3-23 05:24:41
http://reply.papertrans.cn/16/1581/158040/158040_9.png连系 发表于 2025-3-23 05:49:00
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