Extracting Social Determinants of Health: Annotation, Extraction, and Ethical Considerations - Informatics Grand Rounds
Johns Hopkins Medicine via YouTube
Free courses from frontend to fullstack and AI
Learn AI, Data Science & Business — Earn Certificates That Get You Hired
Overview
Google, IBM & Meta Certificates – 40% Off
One plan covers every Professional Certificate on Coursera.
Unlock All Certificates
Explore a comprehensive lecture on extracting social determinants of health from electronic health records in this 58-minute Informatics Grand Rounds session presented by Dr. Kevin Lybarger at Johns Hopkins Medicine. Delve into the critical role of social determinants of health in patient care and learn how natural language processing is revolutionizing their extraction from clinical notes. Gain insights into annotation and extraction processes, understand the information gain from these practices, and examine the ethical considerations surrounding sensitive data handling. Ideal for healthcare professionals, data scientists, and those interested in the future of health data analytics, this session offers valuable knowledge on leveraging technology to improve patient outcomes and healthcare delivery.
Syllabus
Informatics Grand Rounds with Dr. Yubin Park
Taught by
Johns Hopkins Medicine