Advanced NLP for Cancer Informatics

Rich clinical data sets are essential in cancer to drive diagnosis, treatment selection, predictive models, healthcare analytics, data warehouses, tissue bank annotation and cancer registries.

However, the collection of this data is slow and manual because it is trapped in complex documentation such as pathology and radiology reports. Advances in Natural Language Processing (NLP) are enabling cancer data abstraction to be significantly accelerated providing valuable data for improved cancer outcomes.

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