Medical Data Privacy Handbook
暫譯: 醫療數據隱私手冊

Gkoulalas-Divanis, Aris, Loukides, Grigorios

Medical Data Privacy Handbook
  • 出版商: Springer
  • 出版日期: 2019-03-21
  • 售價: $12,860
  • 貴賓價: 9.5 折 $12,217
  • 語言: 英文
  • 頁數: 832
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3319795147
  • ISBN-13: 9783319795140

    • 海外代購書籍(需單獨結帳)

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商品描述

This handbook covers Electronic Medical Record (EMR) systems, which enable the storage, management, and sharing of massive amounts of demographic, diagnosis, medication, and genomic information. It presents privacy-preserving methods for medical data, ranging from laboratory test results to doctors' comments. The reuse of EMR data can greatly benefit medical science and practice, but must be performed in a privacy-preserving way according to data sharing policies and regulations. Written by world-renowned leaders in this field, each chapter offers a survey of a research direction or a solution to problems in established and emerging research areas. The authors explore scenarios and techniques for facilitating the anonymization of different types of medical data, as well as various data mining tasks. Other chapters present methods for emerging data privacy applications and medical text de-identification, including detailed surveys of deployed systems. A part of the book is devoted to legislative and policy issues, reporting on the US and EU privacy legislation and the cost of privacy breaches in the healthcare domain. This reference is intended for professionals, researchers and advanced-level students interested in safeguarding medical data.

商品描述(中文翻譯)

本手冊涵蓋電子病歷（Electronic Medical Record, EMR）系統，這些系統能夠儲存、管理和分享大量的人口統計、診斷、用藥和基因組信息。它介紹了保護醫療數據隱私的方法，範圍從實驗室檢測結果到醫生的評論。EMR數據的重用可以大大促進醫學科學和實踐，但必須根據數據共享政策和法規以保護隱私的方式進行。這本書由該領域的世界知名領袖撰寫，每一章都提供了對某一研究方向的概述或對既有及新興研究領域問題的解決方案。作者探討了促進不同類型醫療數據匿名化的場景和技術，以及各種數據挖掘任務。其他章節介紹了新興數據隱私應用和醫療文本去識別化的方法，包括已部署系統的詳細調查。本書的一部分專門討論立法和政策問題，報告美國和歐盟的隱私立法以及醫療領域隱私洩露的成本。本參考書籍旨在為對保護醫療數據感興趣的專業人士、研究人員和高級學生提供指導。

作者簡介

Aris Gkoulalas-Divanis received the BS from the University of Ioannina (2003), the MS from the University of Minnesota (2005) and the PhD from the University of Thessaly (2009), all in Computer Science. His PhD dissertation was awarded the Certificate of Recognition and Honorable Mention in the 2009 ACM SIGKDD Dissertation Award. From 2009 to 2010, he was appointed as a postdoctoral research fellow in the Dept. of Biomedical Informatics, Vanderbilt University, working on medical data privacy. In 2010, he joined IBM Research-Zurich, as a Research Staff Member. Since 2012, he is working in the Smarter Cities Technology Center of IBM Research-Ireland, leading research in the area of data privacy and anonymization. Aris is a regular reviewer for several prestigious journals and serves in the program committee of major conferences. He has co-authored/co-edited 4 Springer books in the areas of data anonymization, knowledge hiding, and large-scale data mining.

Grigorios Loukides is an Assistant Professor in the School of Computer Science & Informatics at Cardiff University and a Royal Academy of Engineering Research Fellow. His research interests lie broadly in the field of data management with a focus on privacy. His recent research investigates theoretical and practical aspects of data privacy, including algorithmic design, optimization, and formal modeling, and explores applications in healthcare and business. He has received 4 best paper awards, including an award from the American Medical Informatics Association (AMIA) Annual Symposium, 2009. He obtained a Diploma in Computer Science (2005) from University of Crete, Greece, and a PhD in Computer Science (2009) from Cardiff University, UK.

作者簡介(中文翻譯)

Aris Gkoulalas-Divanis 於 2003 年獲得 Ioannina 大學的計算機科學學士學位，於 2005 年獲得明尼蘇達大學的碩士學位，並於 2009 年獲得塞薩利大學的博士學位。他的博士論文在 2009 年的 ACM SIGKDD 論文獎中獲得了表彰證書和榮譽提名。從 2009 年到 2010 年，他被任命為范德堡大學生物醫學資訊系的博士後研究員，專注於醫療數據隱私。2010 年，他加入 IBM 研究所-蘇黎世，擔任研究成員。自 2012 年以來，他在 IBM 研究所-愛爾蘭的智慧城市技術中心工作，領導數據隱私和匿名化領域的研究。Aris 是多本知名期刊的常規審稿人，並在主要會議的程序委員會中任職。他共同編著了 4 本 Springer 出版的書籍，涵蓋數據匿名化、知識隱藏和大規模數據挖掘等領域。

Grigorios Loukides 是卡迪夫大學計算機科學與資訊學院的助理教授，也是英國皇家工程院的研究員。他的研究興趣廣泛涵蓋數據管理領域，特別專注於隱私問題。他最近的研究探討了數據隱私的理論和實踐方面，包括算法設計、優化和形式建模，並探索在醫療保健和商業中的應用。他曾獲得 4 項最佳論文獎，包括 2009 年美國醫療資訊協會 (AMIA) 年會的獎項。他於 2005 年獲得希臘克里特大學的計算機科學文憑，並於 2009 年獲得英國卡迪夫大學的計算機科學博士學位。

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