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Privacy Preservation of Genomic and Medical Data

Privacy Preservation of Genomic and Medical Data
Author: Amit Kumar Tyagi
Publisher: John Wiley & Sons
Total Pages: 564
Release: 2024-01-04
Genre: Computers
ISBN: 1394212623

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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.


Privacy Preservation of Genomic and Medical Data

Privacy Preservation of Genomic and Medical Data
Author: Amit Kumar Tyagi
Publisher: John Wiley & Sons
Total Pages: 432
Release: 2023-11-16
Genre: Computers
ISBN: 1394213700

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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.


Privacy, Confidentiality, and Health Research

Privacy, Confidentiality, and Health Research
Author: William W. Lowrance
Publisher: Cambridge University Press
Total Pages: 203
Release: 2012-06-21
Genre: Law
ISBN: 1139510827

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The potential of the e-health revolution, increased data sharing, database linking, biobanks and new techniques such as geolocation and genomics to advance human health is immense. For the full potential to be realized, though, privacy and confidentiality will have to be dealt with carefully. Problematically, many conventional approaches to such pivotal matters as consent, identifiability, and safeguarding and security are inadequate. In many places, research is impeded by an overgrown thicket of laws, regulations, guidance and governance. The challenges are being heightened by the increasing use of biospecimens, and by the globalization of research in a world that has not globalized privacy protection. Drawing on examples from many developed countries and legal jurisdictions, the book critiques the issues, summarizes various ethics, policy, and legal positions (and revisions underway), describes innovative solutions, provides extensive references and suggests ways forward.


Privacy-preserving Genomic Data Publishing Via Differential Privacy

Privacy-preserving Genomic Data Publishing Via Differential Privacy
Author: Tanya Khatri
Publisher:
Total Pages: 68
Release: 2018
Genre: Data encryption (Computer science)
ISBN:

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"Privacy-preserving data publishing is a mechanism for sharing data while ensuring the privacy of individuals is preserved in the published data and utility is maintained for data mining and analysis. There is a huge need for sharing genomic data to advance medical and health research. However, since genomic data is highly sensitive and the ultimate identifier, it is a big challenge to publish genomic data while protecting the privacy of individuals in the data. In this thesis, we address the aforementioned challenge by presenting an approach for privacy-preserving genomic data publishing via differentially-private suffix tree. The proposed algorithm uses a top-down approach and utilizes Laplace mechanism to divide the raw genomic data into disjoint partitions, and then normalize the partitioning structure to ensure consistency and maintain utility. The output of our algorithm is a differentially-private suffix tree, a data structure most suitable for efficient search on genomic data. We experiment on real-life genomic data obtained from the Human Genome Privacy Challenge project, and we show that our approach is efficient, scalable, and achieves high utility with respect to genomic sequence matching count queries."--Boise State University ScholarWorks.


Protecting Data Privacy in Health Services Research

Protecting Data Privacy in Health Services Research
Author: Institute of Medicine
Publisher: National Academies Press
Total Pages: 208
Release: 2001-01-13
Genre: Computers
ISBN: 0309071879

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The need for quality improvement and for cost saving are driving both individual choices and health system dynamics. The health services research that we need to support informed choices depends on access to data, but at the same time, individual privacy and patient-health care provider confidentiality must be protected.


Responsible Genomic Data Sharing

Responsible Genomic Data Sharing
Author: Xiaoqian Jiang
Publisher: Academic Press
Total Pages: 212
Release: 2020-03-14
Genre: Science
ISBN: 0128163399

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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


Data Protection and Privacy in Healthcare

Data Protection and Privacy in Healthcare
Author: Ahmed Elngar
Publisher: CRC Press
Total Pages: 269
Release: 2021-03-09
Genre: Technology & Engineering
ISBN: 1000349314

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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.


Privacy-Enhancing Technologies for Medical and Genomic Data: From Theory to Practice

Privacy-Enhancing Technologies for Medical and Genomic Data: From Theory to Practice
Author: Jean Louis Raisaro
Publisher:
Total Pages: 177
Release: 2018
Genre:
ISBN:

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Mots-clés de l'auteur: genomic privacy ; medical data protection ; genetic testing ; inference attacks ; homomorphic encryption ; property-preserving encryption ; differential privacy ; re-identification ; data sharing ; privacy-enhancing technologies.


Anonymization of Electronic Medical Records to Support Clinical Analysis

Anonymization of Electronic Medical Records to Support Clinical Analysis
Author: Aris Gkoulalas-Divanis
Publisher: Springer Science & Business Media
Total Pages: 87
Release: 2012-10-13
Genre: Medical
ISBN: 1461456681

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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.


Genomic Data Sharing

Genomic Data Sharing
Author: Jennifer B. Mccormick
Publisher: Academic Press
Total Pages: 232
Release: 2022-11-29
Genre: Medical
ISBN: 0128198044

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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