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The machine giveth and the machine taketh away: a parrot attack on clinical text deidentified with hiding in plain sight.

Journal of the American Medical Informatics Association : JAMIA 31390016
OBJECTIVE: Clinical corpora can be deidentified using a combination of machine-learned automated taggers and hiding in plain sight (HIPS) resynthesis. The latter replaces detected personally identifiable information (PII) with random surrogates, allo...
Ambulatory Care Facilities Computer Security Confidentiality Data Anonymization Delivery of Health Care Electronic Health Records Humans Machine Learning Personally Identifiable Information Washington
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Disentangled Adversarial Transfer Learning for Physiological Biosignals.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 33018018
Recent developments in wearable sensors demonstrate promising results for monitoring physiological status in effective and comfortable ways. One major challenge of physiological status assessment is the problem of transfer learning caused by the doma...
Deep Learning Learning Machine Learning Personally Identifiable Information Records
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How US law will evaluate artificial intelligence for covid-19.

BMJ (Clinical research ed.) 33722811
explore the legal implications of using artificial intelligence in the response to covid-19 and call for more robust evaluation frameworks
Artificial Intelligence Confidentiality COVID-19 Health Insurance Portability and Accountability Act Humans Machine Learning Personally Identifiable Information Risk Assessment SARS-CoV-2 Social Discrimination United States
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