by
Olga Patterson, PhD
Seminar date: 7/9/2020
Description: Natural language processing (NLP) is one commonly used method to provide data for clinical research and decision making by extracting data from electronic medical record systems. Copious textbooks, book chapters, and tutorials have been written to provide information on specific algorithms and existing applications that can be employed for text processing. However, knowing computational algorithms is only one aspect of conducting a successful development of NLP solutions. Informed by available literature, this tutorial presents a step-wise approach using the Systems Development Life Cycle (SDLC) to manage projects that rely on data extraction through language processing. Intended Audience: Investigators, project managers, and analysts that are interested in utilizing natural language processing to achieve health services research aims.
DOWNLOAD: PDF handout | Audio only (mp3) | transcript
