AIMC Topic: Confidentiality

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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.
Humans Confidentiality Treatment Outcome Data Collection Computer Simulation Information Dissemination Randomized Controlled Trials as Topic Deep Learning Computer Security Blood Pressure Hypertension Antihypertensive Agents
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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...
Humans Health Personnel Female Young Adult Surveys and Questionnaires Adolescent Natural Language Processing Confidentiality Adult Biomedical Research New York Male Informed Consent Middle Aged Patient Participation Information Dissemination Academic Medical Centers
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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...
Information Dissemination Databases as Topic New York Patient Participation Adult Biomedical Research Male Deep Learning Surveys and Questionnaires Natural Language Processing Confidentiality Data Anonymization Humans Female
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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...
Fitness Trackers Middle Aged Support Vector Machine Female Humans Exercise Accelerometry Confidentiality Young Adult Feasibility Studies Machine Learning Biometric Identification Medical Informatics Databases, Factual Computer Security Adult Adolescent Male Child
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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.
Diffusion of Innovation Automation Humans Databases, Factual Population Health Machine Learning Confidentiality Data Mining
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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.
Medical Records Public Opinion Attitude to Computers Machine Learning Delivery of Health Care Self Care Trust Humans Attitude of Health Personnel Confidentiality Data Mining Computer Security
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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...
Confidentiality Gait Computer Security Young Adult Biometry Humans Computer Communication Networks Adult Neural Networks, Computer Male Wireless Technology Female Wearable Electronic Devices
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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...
Privacy Computer Security Electronic Health Records China Natural Language Processing Confidentiality Machine Learning Software Algorithms Humans
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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...
Humans Artificial Intelligence Computer Security Radiologists Big Data Knowledge Confidentiality Ownership Informed Consent Privacy
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