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Advanced Search Results For "privacy by design"

1 - 10 of 1,313 results for
 "privacy by design"
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FedVoting: A Cross-Silo Boosting Tree Construction Method for Privacy-Preserving Long-Term Human Mobility Prediction.

Publication Type:Academic Journal

Source(s):Sensors (Basel, Switzerland) [Sensors (Basel)] 2021 Dec 10; Vol. 21 (24). Date of Electronic Publication: 2021 Dec 10.

Abstract:The prediction of human mobility can facilitate resolving many kinds of urban problems, such as reducing traffic congestion, and promote commercial activities, such as targeted advertising. However, the requisite personal GPS data face privacy issues. ...

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Research Electronic Data Capture (REDCap): tackling data collection, management, storage, and privacy challenges.

Publication Type:Academic Journal

Source(s):European journal of cardiovascular nursing [Eur J Cardiovasc Nurs] 2022 Jan 11; Vol. 21 (1), pp. 85-91.

Abstract:Data are the basis of research; without data, there is no research. However, growing internationalization of research, increased complexity of study designs, and stricter legislation make high-quality data collection, management, and storage more impor...

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Privacy-preserving quality control of neuroimaging datasets in federated environments.

Publication Type:Academic Journal

Source(s):Human brain mapping [Hum Brain Mapp] 2022 May; Vol. 43 (7), pp. 2289-2310. Date of Electronic Publication: 2022 Mar 04.

Abstract:Privacy concerns for rare disease data, institutional or IRB policies, access to local computational or storage resources or download capabilities are among the reasons that may preclude analyses that pool data to a single site. A growing number of mul...

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A Differential Privacy Strategy Based on Local Features of Non-Gaussian Noise in Federated Learning.

Publication Type:Academic Journal

Source(s):Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Mar 22; Vol. 22 (7). Date of Electronic Publication: 2022 Mar 22.

Abstract:As an emerging artificial intelligence technology, federated learning plays a significant role in privacy preservation in machine learning, although its main objective is to prevent peers from peeping data. However, attackers from the outside can steal...

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Privacy preserving collaborative learning of generalized linear mixed model.

Publication Type:Academic Journal

Source(s):Journal of biomedical informatics [J Biomed Inform] 2022 Mar; Vol. 127, pp. 104008. Date of Electronic Publication: 2022 Feb 12.

Abstract:Generalized Linear Mixed Model is one of the most pervasive class of statistical models. It is widely used in the medical domain. Training such models in a collaborative setting often entails privacy risks. Standard privacy preserving mechanisms such a...

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Accurate training of the Cox proportional hazards model on vertically-partitioned data while preserving privacy.

Publication Type:Academic Journal

Source(s):BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2022 Feb 24; Vol. 22 (1), pp. 49. Date of Electronic Publication: 2022 Feb 24.

Abstract:Background: Analysing distributed medical data is challenging because of data sensitivity and various regulations to access and combine data. Some privacy-preserving methods are known for analyzing horizontally-partitioned data, where different organis...

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Impact Analysis of De-Identification in Clinical Notes Classification.

Publication Type:Academic Journal

Source(s):Studies in health technology and informatics [Stud Health Technol Inform] 2022 May 16; Vol. 293, pp. 189-196.

Abstract:Background: Clinical notes provide valuable data in telemonitoring systems for disease management. Such data must be converted into structured information to be effective in automated analysis. One way to achieve this is by classification (e.g. into ca...

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FedSPL: federated self-paced learning for privacy-preserving disease diagnosis.

Publication Type:Academic Journal

Source(s):Briefings in bioinformatics [Brief Bioinform] 2022 Jan 17; Vol. 23 (1).

Abstract:The growing expansion of data availability in medical fields could help improve the performance of machine learning methods. However, with healthcare data, using multi-institutional datasets is challenging due to privacy and security concerns. Therefor...

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Ethics and governance for internet-based conservation science research.

Publication Type:Academic Journal

Source(s):Conservation biology : the journal of the Society for Conservation Biology [Conserv Biol] 2021 Dec; Vol. 35 (6), pp. 1747-1754. Date of Electronic Publication: 2021 Jul 07.

Abstract:Internet-based research is increasingly important for conservation science and has wide-ranging applications and contexts, including culturomics, illegal wildlife trade, and citizen science. However, online research methods pose a range of ethical and ...

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Federated Mining of Interesting Association Rules Over EHRs.

Publication Type:Academic Journal

Source(s):Studies in health technology and informatics [Stud Health Technol Inform] 2021 Nov 18; Vol. 287, pp. 3-7.

Abstract:Federated learning has a great potential to create solutions working over different sources without data transfer. However current federated methods are not explainable nor auditable. In this paper we propose a Federated data mining method to discover ...

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