Privacy in mobile technology for personal healthcare
By Sasikanth Avancha, Amit S. Baxi, David F. Kotz. 2012
256 citations recorded by the source corpus.
Subfields: Artificial Intelligence, General Health Professions, Sociology and Political Science
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Praneeth Vepakomma
- Ramesh Raskar
- Otkrist Gupta
- Abhimanyu Dubey
- Hongwen Hui
- Aruna Prasad Seneviratne
- Quoc-Viet Pham
- Ming Ding
In Sociology and Political Science
Citations in the corpus
- R EDUCING LEAKAGE IN DISTRIBUTED DEEP LEARNING FOR SENSITIVE HEALTH DATA (2019, background): “1 INTRODUCTION Data sharing and computation with security, privacy and safety have been identified amongst most important current trends in healthcare (Stanford, 2018; Avancha et al., 2012; Halperin et al., 2008).”
- Federated Learning for Smart Healthcare: A Survey (2021, background): “, user information leakage and data breach [4].”
- Survey on blockchain for Internet of Things (2019, background): “Despite these advantages, privacy is an essential trouble for any personal monitoring technology [83].”