Format Consistency For Entity Obfuscation In De-Identification with Spark NLP
De-Identification is a process that needs to be applied to de-identify (anonymize) or obfuscate (replace with fake entities) PHI (protected health information) data from clinical notes. —  Sharing the clinical data of the patients with third parties is so crucial according to the HIPAA Privacy Rules and as a solution, you can de-identify the PHI (Protected Health Information) entities. Spark NLP for Healthcare comes with 50+ different NER models to support de-identification tasks from 6 spoken languages…
Format Consistency For Entity Obfuscation In De-Identification with Spark NLP De-Identification is a process that needs to be applied to de-identify (anonymize) or obfuscate (replace with fake entities) PHI (protected health information) data from clinical notes. —  Sharing the clinical data of the patients with third parties is so crucial according to the HIPAA Privacy Rules and as a solution, you can de-identify the PHI (Protected Health Information) entities. Spark NLP for Healthcare comes with 50+ different NER models to support de-identification tasks from 6 spoken languages… nlp
Format Consistency Entity Obfuscation DeIdentification Spark NLP DeIdentification process need applied deidentify anonymize obfuscate replace fake entity PHI protected health information data clinical note — Sharing clinical data patient third party crucial according HIPAA Privacy Rules solution deidentify PHI Protected Health Information entity Spark NLP Healthcare come 50 different NER model support deidentification task 6 spoken languages… nlp