De-identification is detecting privacy-related entities in text, such as person, organization names, emails, and other contact data, and masking them with different techniques. This task, also called anonymization or redaction, can help you:...
De-identification is a critical procedure for safeguarding Protected Health Information (PHI) within clinical notes, wherein the data is anonymized or obfuscated through the replacement of real entities with false ones....
Intro Clinical documents and doctor’s notes are significant resources for clinical and pharma research. There are many publications and examples about clinical notes de-identification using rule-based and machine learning /...
Healthcare providers and well-established players in the healthcare space possess vast amounts of unstructured patient-level data. This data has tremendous value, yet it stays primarily untapped due to the sensitivity...
Healthcare Organizations Can Now Leverage Larger and More Diverse Datasets to Improve Operations and Care John Snow Labs, the Healthcare AI and NLP company and developer of the Spark NLP...
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