The process of de-identifying protected health information (PHI) from unstructured medical notes is often essential when working with patient-level documents, such as physician notes. Using current state-of-the-art techniques, automated de-identification...
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...
De-identified Health Information to Improve Patient Care Modern-day wise folks say that “data is the new oil”. Data supports cutting-edge research, drives innovation, and helps with the development of solutions...
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