Text mining allows organizations to extract unstructured data to inform key decisions and speed up the drug discovery pipeline.
In this webinar, AstraZeneca will present how, through their collaboration with PatientsLikeMe (PLM), they were able to examine differences in Nausea adverse reactions (AR) frequencies between patient on-line self-reported data, and data from FDA Drug Product Labels extracted using I2E, Linguamatics Life Science text mining platform.
Natural Language Processing: Big Data Mining for Health and Life Sciences - Hosted by Drexel University
Natural Language Processing Seminar: Hosted by Drexel University
Join Linguamatics and Drexel University College of Medicine for a complimentary seminar on Thursday, June 22. Pharmaceutical and Healthcare industry leaders will share their real-life use cases on how NLP technology is improving patient outcomes and unlocking key insights from unstructured text.
Natural Language Processing: Big Data Mining for Health and Life Sciences - Hosted by Georgetown University
Please join Linguamatics and Georgetown University School of Medicine’s Dahlgren Memorial Library for a complimentary seminar on Wednesday June 28, 2017 from 9:00am to 3:00pm.
The most up to date copy of the agenda can be downloaded here