NLP & Big Data Symposium: from bench-to-bedside, unlocking key insights from your data
During this NLP & Big Data Symposium, we will discuss how NLP technology is moving into new application areas to improve patient outcomes and unlock key insights throughout the drug-discovery process.
You will hear real-life use cases of NLP text mining from a pharma and healthcare perspective including: automating information extraction from pathology reports and mining information from internal safety reports.
Plus product developments from Linguamatics and a demonstration of the new combined integrated Copyright Clearance Center (CCC) XML for Mining and I2E solution which enables you to automatically index full-text content in XML format in I2E from CCC’s database of millions of articles from major STM publishers.
Confirmed speakers include:
Sorena Nadaf, UCSF Helen Diller Family Comprehensive Cancer Center
The role of NLP to accelerate research and improve patient care at UCSF
Joyce Niland & Rebecca Ottesen, City of Hope
Creating a disease registry using Iterative Interactive Enrichment (IIE) of NLP queries shared across institutions
Wendy Cornell, Retired, Merck
Extracting conclusions and interpretations from internal preclinical safety reports using I2E
Chris Hilbert, Copyright Clearance Center & Duncan Selwood, Linguamatics
Easy access to full text articles for text mining: a new service, a new era