Related references
Note: Only part of the references are listed.Deep learning for healthcare: review, opportunities and challenges
Riccardo Miotto et al.
BRIEFINGS IN BIOINFORMATICS (2018)
A Mobile Health Application to Predict Postpartum Depression Based on Machine Learning
Santiago Jimenez-Serrano et al.
TELEMEDICINE AND E-HEALTH (2015)
A Mobile Health Application to Predict Postpartum Depression Based on Machine Learning
Santiago Jimenez-Serrano et al.
TELEMEDICINE AND E-HEALTH (2015)
Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
Matt Fredrikson et al.
CCS'15: PROCEEDINGS OF THE 22ND ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (2015)
Bounds on the sample complexity for private learning and private data release
Amos Beimel et al.
MACHINE LEARNING (2014)
Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds
Raef Bassily et al.
2014 55TH ANNUAL IEEE SYMPOSIUM ON FOUNDATIONS OF COMPUTER SCIENCE (FOCS 2014) (2014)
Cardiovascular Disease Risk Assessment: Insights from Framingham
Ralph B. D'Agostino et al.
GLOBAL HEART (2013)
The Algorithmic Foundations of Differential Privacy
Cynthia Dwork et al.
FOUNDATIONS AND TRENDS IN THEORETICAL COMPUTER SCIENCE (2013)
Calibrating noise to sensitivity in private data analysis
Cynthia Dwork et al.
THEORY OF CRYPTOGRAPHY, PROCEEDINGS (2006)
Female gender is an independent predictor of operative mortality after coronary artery bypass graft surgery - Contemporary analysis of 31 Midwestern hospitals
R Blankstein et al.
CIRCULATION (2005)
Share Paper
