Efficient differentially private learning improves drug sensitivity prediction

Efficient differentially private learning improves drug sensitivity prediction

Abstract Background Users of a personalised recommendation system face a dilemma: recommendations can be improved by learning from data, but only if other users are willing to share their private information. Good personalised predictions are vitally important in precision medicine, but genomic info...

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Bibliographic Details
Main Authors: Antti Honkela, Mrinal Das, Arttu Nieminen, Onur Dikmen, Samuel Kaski
Format: Article
Language:English
Published: BMC 2018-02-01
Series:Biology Direct
Subjects:
Differential privacy
Linear regression
Drug sensitivity prediction
Machine learning
Online Access:http://link.springer.com/article/10.1186/s13062-017-0203-4

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http://link.springer.com/article/10.1186/s13062-017-0203-4

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