AIMC Topic: Confidentiality

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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 ...
China Natural Language Processing Confidentiality Data Curation Humans Electronic Health Records
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Machine Learning Will Change Medicine.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Feb 2, 2017
Reference Values Humans Machine Learning Medicine Confidentiality
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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...
Algorithms Databases, Factual Confidentiality Information Storage and Retrieval Humans Software Biological Ontologies
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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...
Cooperative Behavior Computer Communication Networks Privacy Information Dissemination Computer Security Logistic Models Models, Statistical Confidentiality Humans Machine Learning
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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...
Aged Aged, 80 and over Male Vulnerable Populations Humans Female Confidentiality Informed Consent Austria Man-Machine Systems Social Support User-Computer Interface Robotics Self-Help Devices
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NHS data sharing deal with Google prompts concern.

BMJ (Clinical research ed.) May 5, 2016
United Kingdom State Medicine Private Sector Acute Kidney Injury Confidentiality Information Dissemination Humans Artificial Intelligence
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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...
Risk Humans Natural Language Processing Confidentiality Electronic Health Records Language
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A novel fuzzy logic-based image steganography method to ensure medical data security.

Computers in biology and medicine Oct 27, 2015
This study aims to secure medical data by combining them into one file format using steganographic methods. The electroencephalogram (EEG) is selected as hidden data, and magnetic resonance (MR) images are also used as the cover image. In addition to...
Image Interpretation, Computer-Assisted Information Storage and Retrieval Computer Security Logistic Models Humans Fuzzy Logic Confidentiality Reproducibility of Results Sensitivity and Specificity Algorithms Electronic Health Records
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Creation of a new longitudinal corpus of clinical narratives.

Journal of biomedical informatics Oct 1, 2015
The 2014 i2b2/UTHealth Natural Language Processing (NLP) shared task featured a new longitudinal corpus of 1304 records representing 296 diabetic patients. The corpus contains three cohorts: patients who have a diagnosis of coronary artery disease (C...
Humans Electronic Health Records Female Middle Aged Risk Assessment Narration Data Mining Aged Natural Language Processing Male Comorbidity Coronary Artery Disease Computer Security Incidence Diabetes Complications Confidentiality Vocabulary, Controlled Cohort Studies Boston
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A context-aware approach for progression tracking of medical concepts in electronic medical records.

Journal of biomedical informatics Sep 30, 2015
Electronic medical records (EMRs) for diabetic patients contain information about heart disease risk factors such as high blood pressure, cholesterol levels, and smoking status. Discovering the described risk factors and tracking their progression ov...
Confidentiality Middle Aged Data Mining Risk Assessment Pattern Recognition, Automated Disease Progression Taiwan Vocabulary, Controlled Aged Computer Security Narration Diabetes Complications Cohort Studies Comorbidity Male Humans Natural Language Processing Longitudinal Studies Cardiovascular Diseases Incidence Electronic Health Records Female
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