This talk examines the crucial need for de-identifying protected health information (PHI) in unstructured patient-level data to harness its potential while ensuring compliance with legal and privacy requirements. With an...
PHI De-Identification with State-of-the-Art NLP De-identification for natural language processing in healthcare is a critical procedure for safeguarding Protected Health Information (PHI) within clinical notes, wherein the data is anonymized...
According to the World Health Organization, cancer is the leading cause of death worldwide, accounting for nearly 10 million deaths in 2020. A lot of efforts are made every day...
Zero-Shot Learning (ZSL) is a new paradigm that has gained massive popularity recently due to its potential of reducing data annotations and high generalisability. In the pursuit of bringing product-ready...
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...
Demos
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