Differential Privacy: What is all the noise about?

Autor: Danger, Roxana

Differential Privacy (DP) is a formal definition of privacy that provides rigorous guarantees against risks of privacy breaches during data processing. It makes no assumptions about the knowledge or computational power of adversaries, and provides an

Externí odkaz: http://arxiv.org/abs/2205.09453

Templates as a method for implementing data provenance in decision support systems

Autor: Curcin, Vasa, Fairweather, Elliot, Danger, Roxana, Corrigan, Derek

Publikováno v: In Journal of Biomedical Informatics January 2017 65:1-21

A comparison of machine learning techniques for detection of drug target articles

Autor: Danger, Roxana, Segura-Bedmar, Isabel, Martínez, Paloma, Rosso, Paolo

Publikováno v: In Journal of Biomedical Informatics 2010 43(6):902-913

A methodology for mining clinical data:Experiences from TRANSFoRm project

Autor: Danger, Roxana, Corrigan, Derek, Soler, Jean K., Kazienko, Przemyslaw, Kajdanowicz, Tomasz, Majeed, Azeem, Curcin, Vasa

Publikováno v: Danger, R, Corrigan, D, Soler, J K, Kazienko, P, Kajdanowicz, T, Majeed, A & Curcin, V 2015, A methodology for mining clinical data : Experiences from TRANSFoRm project . in Digital Healthcare Empowering Europeans-Proceedings of MIE 2015 . vol. 210, pp. 85-89, 26th Medical Informatics in Europe Conference, MIE 2015, Madrid, Spain, 27/05/2015 . https://doi.org/10.3233/978-1-61499-512-8-85

Data mining of electronic health records (eHRs) allows us to identify patterns of patient data that characterize diseases and their progress and learn best practices for treatment and diagnosis. Clinical Prediction Rules (CPRs) are a form of clinical

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2761::36c6661623a7407ec7dd826e7bcfb354
https://kclpure.kcl.ac.uk/ws/files/53830445/A_methodology_for_mining_DANGER_Published_2015_GOLD_VoR.pdf

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