AIMC Topic: Confidentiality
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A machine learning based approach to identify protected health information in Chinese clinical text.
International journal of medical informatics
May 22, 2018
BACKGROUND: With the increasing application of electronic health records (EHRs) in the world, protecting private information in clinical text has drawn extensive attention from healthcare providers to researchers. De-identification, the process of id...
Protecting Your Patients' Interests in the Era of Big Data, Artificial Intelligence, and Predictive Analytics.
Journal of the American College of Radiology : JACR
Feb 6, 2018
The Hippocratic oath and the Belmont report articulate foundational principles for how physicians interact with patients and research subjects. The increasing use of big data and artificial intelligence techniques demands a re-examination of these pr...
Big Data in Public Health: Terminology, Machine Learning, and Privacy.
Annual review of public health
Dec 20, 2017
The digital world is generating data at a staggering and still increasing rate. While these "big data" have unlocked novel opportunities to understand public health, they hold still greater potential for research and practice. This review explores se...
A cascaded approach for Chinese clinical text de-identification with less annotation effort.
Journal of biomedical informatics
Jul 26, 2017
With rapid adoption of Electronic Health Records (EHR) in China, an increasing amount of clinical data has been available to support clinical research. Clinical data secondary use usually requires de-identification of personal information to protect ...
Machine Learning Will Change Medicine.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Feb 2, 2017
SAFE: SPARQL Federation over RDF Data Cubes with Access Control.
Journal of biomedical semantics
Feb 1, 2017
BACKGROUND: Several query federation engines have been proposed for accessing public Linked Open Data sources. However, in many domains, resources are sensitive and access to these resources is tightly controlled by stakeholders; consequently, privac...
Supporting Regularized Logistic Regression Privately and Efficiently.
PloS one
Jun 6, 2016
As one of the most popular statistical and machine learning models, logistic regression with regularization has found wide adoption in biomedicine, social sciences, information technology, and so on. These domains often involve data of human subjects...
Ethical challenges in the use of social service robots for elderly people.
Zeitschrift fur Gerontologie und Geriatrie
May 25, 2016
Socially assistive robots are increasingly discussed as solutions in care and domestic use for the support of senior adults; however, this raises ethical questions which hitherto have not been considered or were not predictable. The most important qu...
NHS data sharing deal with Google prompts concern.
BMJ (Clinical research ed.)
May 5, 2016
Optimizing annotation resources for natural language de-identification via a game theoretic framework.
Journal of biomedical informatics
Mar 25, 2016
OBJECTIVE: Electronic medical records (EMRs) are increasingly repurposed for activities beyond clinical care, such as to support translational research and public policy analysis. To mitigate privacy risks, healthcare organizations (HCOs) aim to remo...
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