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Author: Amit Kumar Tyagi
Publisher: John Wiley & Sons
ISBN: 1394212623
Category : Computers
Languages : en
Pages : 564
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Book Description
PRIVACY PRESERVATION of GENOMIC and MEDICAL DATA Discusses topics concerning the privacy preservation of genomic data in the digital era, including data security, data standards, and privacy laws so that researchers in biomedical informatics, computer privacy and ELSI can assess the latest advances in privacy-preserving techniques for the protection of human genomic data. Privacy Preservation of Genomic and Medical Data focuses on genomic data sources, analytical tools, and the importance of privacy preservation. Topics discussed include tensor flow and Bio-Weka, privacy laws, HIPAA, and other emerging technologies like Internet of Things, IoT-based cloud environments, cloud computing, edge computing, and blockchain technology for smart applications. The book starts with an introduction to genomes, genomics, genetics, transcriptomes, proteomes, and other basic concepts of modern molecular biology. DNA sequencing methodology, DNA-binding proteins, and other related terms concerning genomes and genetics, and the privacy issues are discussed in detail. The book also focuses on genomic data sources, analyzing tools, and the importance of privacy preservation. It concludes with future predictions for genomic and genomic privacy, emerging technologies, and applications. Audience Researchers in information technology, data mining, health informatics and health technologies, clinical informatics, bioinformatics, security and privacy in healthcare, as well as health policy developers in public and private health departments and public health.
Author: Amit Kumar Tyagi
Publisher: John Wiley & Sons
ISBN: 1394212623
Category : Computers
Languages : en
Pages : 564
Get Book
Book Description
PRIVACY PRESERVATION of GENOMIC and MEDICAL DATA Discusses topics concerning the privacy preservation of genomic data in the digital era, including data security, data standards, and privacy laws so that researchers in biomedical informatics, computer privacy and ELSI can assess the latest advances in privacy-preserving techniques for the protection of human genomic data. Privacy Preservation of Genomic and Medical Data focuses on genomic data sources, analytical tools, and the importance of privacy preservation. Topics discussed include tensor flow and Bio-Weka, privacy laws, HIPAA, and other emerging technologies like Internet of Things, IoT-based cloud environments, cloud computing, edge computing, and blockchain technology for smart applications. The book starts with an introduction to genomes, genomics, genetics, transcriptomes, proteomes, and other basic concepts of modern molecular biology. DNA sequencing methodology, DNA-binding proteins, and other related terms concerning genomes and genetics, and the privacy issues are discussed in detail. The book also focuses on genomic data sources, analyzing tools, and the importance of privacy preservation. It concludes with future predictions for genomic and genomic privacy, emerging technologies, and applications. Audience Researchers in information technology, data mining, health informatics and health technologies, clinical informatics, bioinformatics, security and privacy in healthcare, as well as health policy developers in public and private health departments and public health.
Author: Aris Gkoulalas-Divanis
Publisher: Springer
ISBN: 3319236334
Category : Computers
Languages : en
Pages : 832
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Book Description
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.
Author: Xiaoqian Jiang
Publisher: Academic Press
ISBN: 0128163399
Category : Science
Languages : en
Pages : 212
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Book Description
Responsible Genomic Data Sharing: Challenges and Approaches brings together international experts in genomics research, bioinformatics and digital security who analyze common challenges in genomic data sharing, privacy preserving technologies, and best practices for large-scale genomic data sharing. Practical case studies, including the Global Alliance for Genomics and Health, the Beacon Network, and the Matchmaker Exchange, are discussed in-depth, illuminating pathways forward for new genomic data sharing efforts across research and clinical practice, industry and academia. Addresses privacy preserving technologies and how they can be applied to enable responsible genomic data sharing Employs illustrative case studies and analyzes emerging genomic data sharing efforts, common challenges and lessons learned Features chapter contributions from international experts in responsible approaches to genomic data sharing
Author: Ahmed Elngar
Publisher: CRC Press
ISBN: 1000349314
Category : Technology & Engineering
Languages : en
Pages : 269
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Book Description
The Healthcare industry is one of the largest and rapidly developing industries. Over the last few years, healthcare management is changing from disease centered to patient centered. While on one side the analysis of healthcare data plays an important role in healthcare management, but on the other side the privacy of a patient’s record must be of equal concern. This book uses a research-oriented approach and focuses on privacy-based healthcare tools and technologies. It offers details on privacy laws with real-life case studies and examples, and addresses privacy issues in newer technologies such as Cloud, Big Data, and IoT. It discusses the e-health system and preserving its privacy, and the use of wearable technologies for patient monitoring, data streaming and sharing, and use of data analysis to provide various health services. This book is written for research scholars, academicians working in healthcare and data privacy domains, as well as researchers involved with healthcare law, and those working at facilities in security and privacy domains. Students and industry professionals, as well as medical practitioners might also find this book of interest.
Author: Aris Gkoulalas-Divanis
Publisher: Springer Science & Business Media
ISBN: 1461456681
Category : Medical
Languages : en
Pages : 87
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Book Description
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 integrity of 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 Analysis is intended for professionals as a reference guide for safeguarding the privacy and data integrity of sensitive medical records. Academics and other research scientists will also find the book invaluable.
Author: William W. Lowrance
Publisher: Cambridge University Press
ISBN: 1107020875
Category : Computers
Languages : en
Pages : 203
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Book Description
Examines how privacy, confidentiality, consent, identifiability, safeguards and data sharing affect the pursuit of health research for the common good.
Author: Jennifer B. Mccormick
Publisher: Elsevier
ISBN: 0128198036
Category : Medical
Languages : en
Pages : 230
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Book Description
Genomic Data Sharing: Case Studies, Challenges, and Opportunities for Precision Medicine provides a comprehensive overview of current and emerging issues in genomic data sharing. In this book, international leaders in genomic data examine these issues in-depth, offering practical case studies that highlight key successes, challenges and opportunities. Sections discuss the eMERGE Network, Undiagnosed Disease Network, Vanderbilt Biobank, Marshfield Clinic Biobank, Minnesota Authorization, Rochester Epidemiology Project, NIH sponsored biobanks, GINA, and Global Alliance for Genomics and Health (GA4GH). In addition to these perspectives from the frontlines, the book also provides succinct overviews of ethical, legal, social and IT challenges. Clinician investigators, clinicians affiliated with academic medical centers, policymakers and regulators will also gain insights that will allow them to navigate the increasingly complex ethical, social and clinical landscape of genomic data sharing. Covers both technical and ELSI (ethical, legal, and social implications) perspectives on genomic data sharing Includes applied case studies of existing genomic data sharing consortia, including the eMERGE Network, Undiagnosed Disease Network, and the Global Alliance for Genomics and Health (GA4GH), among others Features chapter contributions from international leaders in genomic data sharing
Author: Zuber Patel
Publisher: Springer
ISBN: 3319737120
Category : Computers
Languages : en
Pages : 275
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Book Description
This book constitutes the refereed proceedings of the First International Conference on Future Internet Technologies and Trends, ICFITT 2017, held in Surat, India, August 31 – September 2, 2017. The 28 full papers were selected from 66 submissions and present next generation requirements for extremely high speed data communications, IoT, security, broadband technology, cognitive radio, vehicular technology, gigabit wireless networks, data management and big data
Author: Charu C. Aggarwal
Publisher: Springer Science & Business Media
ISBN: 0387709924
Category : Computers
Languages : en
Pages : 524
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Book Description
Advances in hardware technology have increased the capability to store and record personal data. This has caused concerns that personal data may be abused. This book proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. This edited volume contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions of a particular topic in privacy. The book is designed for researchers, professors, and advanced-level students in computer science, but is also suitable for practitioners in industry.
Author: Mark A. Rothstein
Publisher: Yale University Press
ISBN: 9780300080636
Category : Medical
Languages : en
Pages : 532
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Book Description
The dramatic explosion of information brought about by recent advances in genetic research brings welcome scientific knowledge. Yet this new knowledge also raises complex and troubling issues concerning privacy and confidentiality. This thought-provoking book is the first comprehensive exploration of these ethical, legal, and social issues. Distinguished experts in law, medicine, bioethics, public health, science policy, clinical genetics, philosophy, and other fields consider the many contexts in which issues of genetic privacy arise--from research and clinical settings to workplaces, insurance offices, schools, and the courts. The first chapters of this book set out a framework for analyzing genetic privacy and confidentiality, comparing genetic privacy with other forms of medical privacy. Later chapters deal with such topics as concerns that arise in the health care setting (the patient-physician relationship, genetic counseling and privacy); the effect of new technology (the role of commercial genomics, forensic DNA applications); nonmedical uses of genetic information (the law of medical and genetic privacy in the workplace, implications of genetic testing for health and life insurance); and a review of ethics and law in the United States and abroad. In the concluding chapter, Mark A. Rothstein discusses flaws in existing and proposed legislation designed to protect genetic privacy and confidentiality, and he offers a new set of guidelines for policy makers.
