Related Experiment Video
Updated: Jan 20, 2026

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
Published on: October 13, 2018
Identifying Patients with Significant Problems Related to Social Determinants of Health with Natural Language
David Dorr1, Cosmin A Bejan2, Christie Pizzimenti1
1Oregon Health & Science University, Portland, OR, USA.
Abstract:
Social and behavioral factors influence health but are infrequently recorded in electronic health records (EHRs). Here, we demonstrate that psychosocial vital signs can be extracted from EHR data. We processed structured and unstructured EHR data using expert-driven queries and Natural Language Processing (NLP), validating results through structured annotation. We found that although these vital signs are present in EHRs, with 681 structured entries identified for psychosocial concepts, NLP identified a nearly 90-fold increase in patients.
More Related Videos
10:15Utilizing Repetitive Transcranial Magnetic Stimulation to Improve Language Function in Stroke Patients with Chronic Non-fluent Aphasia
Published on: July 2, 2013
03:14Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
Related Concept Videos
Scientific Nature of Social Psychology
Causes of Social Behavior II: Cognitive Processes
Automatic Processing and Automatic Social Behavior
Social Scripts
Nature and Nurture
Social Proof