Revue | Volume
The ethics of biomedical "Big Data" analytics
Volume 32 (1)
Détails | Table des matières
pp.1-15
https://doi.org/10.1007/s13347-019-00345-ydo health promoting wearable technologies support personal autonomy?
pp.23-38
https://doi.org/10.1007/s13347-017-0266-2how research participants and oncologists assess data-sharing and the risk of re-identification in genomic research
pp.39-55
https://doi.org/10.1007/s13347-017-0268-0(how) can "big data" help?
pp.57-68
https://doi.org/10.1007/s13347-017-0270-6pp.69-85
https://doi.org/10.1007/s13347-017-0278-ymeeting the ethical challenges
pp.87-110
https://doi.org/10.1007/s13347-017-0286-ybringing the philosophical literature on trust to bear on the ethics of consent
pp.111-134
https://doi.org/10.1007/s13347-017-0288-9agency and patiency in health monitoring applications
pp.135-154
https://doi.org/10.1007/s13347-018-0313-7a philosophical and ethical exploration
pp.155-171
https://doi.org/10.1007/s13347-018-0319-1through the lens of the national archives uk
pp.173-183
https://doi.org/10.1007/s13347-018-0333-3Détails de la publication
Revue: Philosophy & Technology
Volume: 32
Numéro: 1
Année: 2019
Citation complète:
Mittelstadt Brent (dir.), 2019, The ethics of biomedical "Big Data" analytics, Philosophy & Technology 32 (1).