De-identification is used to overcome data privacy challenges and keep information safe from unauthorized parties. This post explains what de-identification is, how it works and how natural language processing (NLP) is used to automate the process of removing sensitive data from datasets.
Introduction With evermore personal data being produced and stored by organizations, data privacy is becoming an increasing priority. Businesses have access to a lot of sensitive information about their customers,...
Spark NLP for Healthcare 3.1 improves the accuracy, functionality, and ease of use of the library’s data de-identification capabilities, whose are crutial for natural language processing in healthcare. All improvements...
Medical imaging challenges were discussed in 2 previous blogs. The first blog gave an introductory brief about medical imaging, its different modalities, standards used (DICOM), efficiency measures, and what is...
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