Organizers: Michael F. Chiang, MD, Anne L. Coleman, MD, PhD, FARVO and Seth Blackshaw, PhD
Presenters: Anne Coleman, MD, PhD, FARVO, Joshua Stein, MS, MD, Michael Chiang, MD, Paul Lee, JD, MD, FARVO, Aaron Lee, MD, and Michael Gorin, MD, PhD, FARVO
Overview: Big Data is a frequently used terms in the press. This course defines Big Data and describes Big Data sets derived from clinical data available in eye and vision research. How to visualize Big data and applications of machine learning are also discussed.
Intended audience: The target audience includes researchers in the field of eye and vision sciences such as basic researchers, clinician-scientists, ophthalmologists, ophthalmology residents, optometrists, post-doctoral fellows, graduate students and PhD candidates interested in learning about clinical data sets for eye and vision research.
Estimated time to complete: 2.5 hours
Format: Series of audio presentations synchronized with slides.
The presentations included in this course are from the 2017 Big Data: Current status and future directions education course held in Baltimore, Md. Your purchase includes unlimited online access to the recordings until Dec. 31, 2019. The presentation slides may be downloaded. However, they are intended for the use of the purchaser only and cannot be shared without express permission.
Student Members $99 Member/online member $149 Non-member $199Purchase now