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Wendy Chapman, PhD: An NLP Ecosystem for Development and Use of Natural Language Processing in the Clinical Domain

Abstract:

Natural language processing (NLP) in the clinical domain holds great promise for patient phenotyping, assisting in clinical research, and providing decision support. We are behind the curve due to several unique challenges of developing NLP in the clinical domain. We are developing an NLP ecosystem to increase the ability to develop accurate and useful NLP applications and to decrease the burden in applying NLP to clinical problems. I will describe several tools being developed, including a tool for managing small- and large-scale annotation projects, an application for generating features from text, and a workbench for evaluation and error analysis of information extraction performance.

Dr. Chapman is an associate profession in the Division of Biomedical Informatics at the University of California, San Diego. Her work has focused on extraction of clinical information from narrative reports. She is the chair of the AMIA NLP working group and is involved in several collaborative grants from the NIH and the VA.

Bio:

Wendy Chapman is an associate professor in the School of Medicine in the division of biomedical informatics at UC San Diego. She is chair of the American Medical Association Natural Language Processing Working Group, an elected fellow of the American College of Medical Informatics as well as an elected board member of the International Society for Disease Surveillance. She received a BA in linguistics as well as her PhD in medical informatics from the University of Utah.