Natural Language Processing For Healthcare - Amir Tahmasebi, Director of ML & AI at CODAMETRIX.

With recent advancements in Deep Learning followed by successful deployments in natural language processing (NLP) applications such as language understanding, modelling, and translation, the general hope was to achieve yet another success in the healthcare domain. Given the vast amount of healthcare data captured in Electronic Medical Records (EMR) in an unstructured fashion, there is an immediate high demand for NLP to facilitate automatic extraction and structuring of clinical data for decision support. Nevertheless, the performance of off-the-shelf NLP on healthcare data has been disappointing. Recently, tremendous efforts have been dedicated by NLP research pioneers to adapt general language NLP for the healthcare domain. This talk aims to review current challenges researchers face, and furthermore, reviews some of the most recent success stories.

Видео Natural Language Processing For Healthcare - Amir Tahmasebi, Director of ML & AI at CODAMETRIX. канала RE•WORK