Getting the most from Big Data Sets:
Where to find them and how to use them effectively
Dec. 8 - 10
10am - 1:30pm EST (Tues., Wed.)
10am - 1pm EST (Thurs.)
Registration: Members-in-Training $39; Members $89; Nonmembers $129
The data-intensive practice of ophthalmology offers a potential research goldmine about vision pathways and the prevention and treatment of eye disease. However, this data and the ability to use it effectively are still out of reach to the average investigator. This three-day virtual conference will provide early and mid-career clinicians, clinician-scientists and basic researchers with strategies to access and integrate these big clinical data sets.
The presentations will include live chat sessions. Attendees will be able to interact with the speakers during question and answer periods and panel discussions. Session recordings will be available to registrants after the conference.
- Day 1 - focuses on data sources, including an introduction to big data sets from around the world and how to gain access. The strengths and challenges of working with a wide array of clinical data sets appropriate for vision research will be discussed.
- Day 2 - dives into working with big data sets and includes sessions on special skills required, practical considerations about data privacy and how to set up and contribute to a clinical data registry.
- Day 3 - reviews the application of big data including artificial intelligence, machine learning models and real-world examples of analyses involving big data.
Each session is directed by leading experts in the field of big data in ophthalmology.
Physician credit designation
ARVO designates this live activity for a maximum of nine AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Physician accreditation statement
The Association for Research in Vision and Ophthalmology (ARVO) is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.