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Weitersagen:


Herausgeber: 
  • Luciano Floridi
  • Brent Daniel Mittelstadt
  • The Ethics of Biomedical Big Data 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Juni 2018  
    Genre:  Philosophie 
     
    B / Data Mining / Data Mining and Knowledge Discovery / Ethics / Ethics & moral philosophy / Ethics and moral philosophy / Ethik und Moralphilosophie / Expert systems / knowledge-based systems
    ISBN:  9783319815350 
    EAN-Code: 
    9783319815350 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #29 - Law, Governance and Technology Series  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  753 gr 
    Seiten:  480 
    Illustration:  XVI, 480 p. 5 illus., schwarz-weiss Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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 bookadvances our understanding of the ethical conundrums posed by biomedical Big Data, and shows how practitioners and policy-makers can address these issues going forward.

      



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