unstructured data

Learning at Scale: Anonymizing Unstructured Data using AI/ML

by Rachel Li, Ph.D. – Senior Machine Learning Engineer Unstructured data, such as medical notes, pose unique challenges with regards…

Unlocking Insights in Unstructured Data

Unstructured data is the new frontier in healthcare. More and more organizations are recognizing that analyzing unstructured data is the…

The Future of Big Data Analytics

The healthcare industry has been slower than other sectors to embrace computerized information systems like EHRs, in part, because of…

Dealing with Data Variety in Healthcare

Healthcare does not always rely on discrete pieces of data. While many elements captured in an EHR or used in…

Lexicon for Unstructured Data

Introducing Privacy Analytics Lexicon Demand for access to rapidly growing volumes of unstructured data is being driven by medical researchers…

De-identifying Unstructured Data

There is a surplus of analytics waiting to be tapped by de-identifying unstructured data resources Often overlooked, unstructured data is…

De-identification of Unstructured Data

Most health data is unstructured data. Learn how to unlock its value for secondary purposes with this Privacy Analytics white paper.

The Industry’s First Anonymization Solution

National Institutes of Health Selects Privacy Analytics to Anonymize Unstructured Data for Analysis WASHINGTON, D.C.  (November 12, 2013) – Building…

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