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Accurate de-identification, obfuscation and editing of scanned medical documents
August 19 @ 1:00 pm
Register here: https://hubs.ly/H0tjQ4Q0
One kind of noisy data that healthcare data scientists deal with is scanned documents and images: from PDF attachments of lab results, referrals, or genetic testing to DICOM files with medical imaging. These files are challenging to de-identify, because personal health information (PHI) can a