AIMC Topic: Confidentiality

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A study of deep learning methods for de-identification of clinical notes in cross-institute settings.

BMC medical informatics and decision making Dec 5, 2019
BACKGROUND: De-identification is a critical technology to facilitate the use of unstructured clinical text while protecting patient privacy and confidentiality. The clinical natural language processing (NLP) community has invested great efforts in de...
Natural Language Processing Confidentiality Data Anonymization Linguistics Humans Electronic Health Records Deep Learning
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AI ethics, accountability, and sustainability: revisiting the Hippocratic oath.

Acta orthopaedica Oct 30, 2019
Social Responsibility Confidentiality Access to Information Image Interpretation, Computer-Assisted Humans Artificial Intelligence Decision Support Techniques Hippocratic Oath
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Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing.

Circulation. Cardiovascular quality and outcomes Jul 9, 2019
BACKGROUND: Data sharing accelerates scientific progress but sharing individual-level data while preserving patient privacy presents a barrier.
Randomized Controlled Trials as Topic Blood Pressure Computer Simulation Antihypertensive Agents Humans Confidentiality Deep Learning Data Collection Hypertension Information Dissemination Treatment Outcome Computer Security
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A two-site survey of medical center personnel's willingness to share clinical data for research: implications for reproducible health NLP research.

BMC medical informatics and decision making Apr 4, 2019
BACKGROUND: A shareable repository of clinical notes is critical for advancing natural language processing (NLP) research, and therefore a goal of many NLP researchers is to create a shareable repository of clinical notes, that has breadth (from mult...
Academic Medical Centers New York Patient Participation Middle Aged Surveys and Questionnaires Adolescent Natural Language Processing Confidentiality Informed Consent Information Dissemination Young Adult Adult Humans Biomedical Research Health Personnel Male Female
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Parsing clinical text using the state-of-the-art deep learning based parsers: a systematic comparison.

BMC medical informatics and decision making Apr 4, 2019
BACKGROUND: A shareable repository of clinical notes is critical for advancing natural language processing (NLP) research, and therefore a goal of many NLP researchers is to create a shareable repository of clinical notes, that has breadth (from mult...
Humans Female Adult Biomedical Research Confidentiality Data Anonymization Information Dissemination Databases as Topic Male Deep Learning Surveys and Questionnaires Natural Language Processing New York Patient Participation
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Feasibility of Reidentifying Individuals in Large National Physical Activity Data Sets From Which Protected Health Information Has Been Removed With Use of Machine Learning.

JAMA network open Dec 7, 2018
IMPORTANCE: Despite data aggregation and removal of protected health information, there is concern that deidentified physical activity (PA) data collected from wearable devices can be reidentified. Organizations collecting or distributing such data s...
Computer Security Fitness Trackers Medical Informatics Middle Aged Accelerometry Female Humans Child Exercise Biometric Identification Young Adult Machine Learning Support Vector Machine Adolescent Adult Databases, Factual Confidentiality Male Feasibility Studies
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Machine learning in population health: Opportunities and threats.

PLoS medicine Nov 27, 2018
Abraham D. Flaxman and Theo Vos of the Institute for Health Metrics and Evaluation, University of Washington, discuss near-term applications for ML in population health and name their priorities for ongoing ML development.
Humans Machine Learning Databases, Factual Confidentiality Data Mining Diffusion of Innovation Automation Population Health
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Machine learning in medicine: Addressing ethical challenges.

PLoS medicine Nov 6, 2018
Effy Vayena and colleagues argue that machine learning in medicine must offer data protection, algorithmic transparency, and accountability to earn the trust of patients and clinicians.
Trust Attitude of Health Personnel Confidentiality Data Mining Computer Security Medical Records Public Opinion Attitude to Computers Humans Machine Learning Delivery of Health Care Self Care
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Advancing the State of the Art in Clinical Natural Language Processing through Shared Tasks.

Yearbook of medical informatics Aug 29, 2018
OBJECTIVES:  To review the latest scientific challenges organized in clinical Natural Language Processing (NLP) by highlighting the tasks, the most effective methodologies used, the data, and the sharing strategies.
Electronic Health Records Social Media Natural Language Processing Confidentiality Adverse Drug Reaction Reporting Systems Drug Labeling
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An Artificial Neural Network Framework for Gait-Based Biometrics.

IEEE journal of biomedical and health informatics Aug 2, 2018
As the popularity of wearable and the implantable body sensor network (BSN) devices increases, there is a growing concern regarding the data security of such power-constrained miniaturized medical devices. With limited computational power, BSN device...
Computer Communication Networks Humans Confidentiality Wireless Technology Neural Networks, Computer Adult Gait Female Male Computer Security Wearable Electronic Devices Young Adult Biometry
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