Big Data Analysis For Bioinformatics And Biomedical Discoveries


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Big Data Analysis for Bioinformatics and Biomedical Discoveries


Big Data Analysis for Bioinformatics and Biomedical Discoveries

Author: Shui Qing Ye

language: en

Publisher: CRC Press

Release Date: 2016-01-13


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Demystifies Biomedical and Biological Big Data AnalysesBig Data Analysis for Bioinformatics and Biomedical Discoveries provides a practical guide to the nuts and bolts of Big Data, enabling you to quickly and effectively harness the power of Big Data to make groundbreaking biological discoveries, carry out translational medical research, and implem

Big Data Analytics in Bioinformatics and Healthcare


Big Data Analytics in Bioinformatics and Healthcare

Author: Baoying Wang

language: en

Publisher:

Release Date: 2014-10


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"This book merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management"--

The Ethics of Biomedical Big Data


The Ethics of Biomedical Big Data

Author: Brent Daniel Mittelstadt

language: en

Publisher: Springer

Release Date: 2016-08-03


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This book presents cutting edge research on the new ethical challenges posed by biomedical Big Data technologies and practices. ‘Biomedical Big Data’ refers to the analysis of aggregated, very large datasets to improve medical knowledge and clinical care. The book describes the ethical problems posed by aggregation of biomedical datasets and re-use/re-purposing of data, in areas such as privacy, consent, professionalism, power relationships, and ethical governance of Big Data platforms. Approaches and methods are discussed that can be used to address these problems to achieve the appropriate balance between the social goods of biomedical Big Data research and the safety and privacy of individuals. Seventeen original contributions analyse the ethical, social and related policy implications of the analysis and curation of biomedical Big Data, written by leading experts in the areas of biomedical research, medical and technology ethics, privacy, governance and data protection. The book advances our understanding of the ethical conundrums posed by biomedical Big Data, and shows how practitioners and policy-makers can address these issues going forward.