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Extracting Oncology Insights From Real-World Clinical Data With NLP

Measuring the efficacy of oncology interventions is critical to matching patients with the right intervention. Oncology data, and related real-world evidence, have the potential to inform clinical research, trial design, regulatory decisions, safety assessments, treatment pathways and more.  Unfortunately, given the highly specialized nature of oncology care, disease criteria and endpoints typically are not available in structured formats and remain locked in data silos, making them hard to aggregate and analyze

How to Setup Spark NLP on UBUNTU and Write your FIRST CODE

In this video, Erdal will walk you through how to setup Spark NLP for Community library on local Ubuntu 18.04 machine and...