Challenges in deploying machine learning: a survey of case studies
In recent years, machine learning has transitioned from a field of academic research interest
to a field capable of solving real-world business problems. However, the deployment of …
to a field capable of solving real-world business problems. However, the deployment of …
[PDF][PDF] Forgetting personal data and revoking consent under the GDPR: Challenges and proposed solutions
Abstract Upon the General Data Protection Regulation's (GDPR) application on 25 May
2018 across the European Union, new legal requirements for the protection of personal data …
2018 across the European Union, new legal requirements for the protection of personal data …
Artificial intelligence in radiation oncology: a specialty-wide disruptive transformation?
Artificial intelligence (AI) is emerging as a technology with the power to transform
established industries, and with applications from automated manufacturing to advertising …
established industries, and with applications from automated manufacturing to advertising …
A novel blockchain-based integrity and reliable veterinary clinic information management system using predictive analytics for provisioning of quality health services
The recent advances in information management systems coupled with machine learning
algorithms paved the way for a significant revolution in animal healthcare industries …
algorithms paved the way for a significant revolution in animal healthcare industries …
Values, challenges and future directions of big data analytics in healthcare: A systematic review
The emergence of powerful software has created conditions and approaches for large
datasets to be collected and analyzed which has led to informed decision-making towards …
datasets to be collected and analyzed which has led to informed decision-making towards …
The text anonymization benchmark (tab): A dedicated corpus and evaluation framework for text anonymization
We present a novel benchmark and associated evaluation metrics for assessing the
performance of text anonymization methods. Text anonymization, defined as the task of …
performance of text anonymization methods. Text anonymization, defined as the task of …
Data sharing under the General Data Protection Regulation: time to harmonize law and research ethics?
A Vlahou, D Hallinan, R Apweiler, A Argiles, J Beige… - …, 2021 - Am Heart Assoc
The General Data Protection Regulation (GDPR) became binding law in the European
Union Member States in 2018, as a step toward harmonizing personal data protection …
Union Member States in 2018, as a step toward harmonizing personal data protection …
Linking sensitive data
Sensitive personal data are created in many application domains, and there is now an
increasing demand to share, integrate, and link such data within and across organisations in …
increasing demand to share, integrate, and link such data within and across organisations in …
Reflections on dynamic consent in biomedical research: the story so far
HJA Teare, M Prictor, J Kaye - European journal of human genetics, 2021 - nature.com
Dynamic consent (DC) was originally developed in response to challenges to the informed
consent process presented by participants agreeing to 'future research'in biobanking. In the …
consent process presented by participants agreeing to 'future research'in biobanking. In the …
Federated learning approach to protect healthcare data over big data scenario
G Dhiman, S Juneja, H Mohafez, I El-Bayoumy… - Sustainability, 2022 - mdpi.com
The benefits and drawbacks of various technologies, as well as the scope of their
application, are thoroughly discussed. The use of anonymity technology and differential …
application, are thoroughly discussed. The use of anonymity technology and differential …