Deep Learning for Automatic Extraction of Cancer Data from Unstructured Pathology Reports

Ross Mitchell, Artificial Intelligence Officer, Moffitt Cancer Center Introduction: Much of the information in electronic medical records (EMRs) required for the practice of clinical oncology is contained in unstructured text. While natural language processing (NLP) has been used to extract information from EMR text, accuracy is suboptimal. In late 2018 a powerful new deep-learning NLP algorithm was published: Bidirectional Encoder Representations from Transformers (BERT). BERT set new accuracy records and