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Big data: Principles to practical application

Thank you for registering for the Education Course, Big data: Principles to practical application. The course will take place on Saturday, April 28, from 8am - 4:30pm at the Hawaii Convention Center, room 313A.

Use the links below to access the course presentations. All presentations may not be available at this time. Presenters will be given the option to provide their presentations, or an updated version, after the course. Attendees will be notified via email if new or updated presentations are available. No paper copies will be available at the course.

All materials are copyrighted to the presenter and cannot be duplicated or shared without permission from the presenter. Contact education@arvo.org to request permission.

Joshua Stein
Tapping into health care claims databases to learn about ocular diseases
Presentation not available

Anne Coleman
New: Case study: IRIS registry

Michael Chiang
New: Big data studies: EHRs

Jayashree Kalpathy-Cramer
Case study: Machine learning
Presentation not available

Aaron Lee
New: Visualizing big data

Anand Swaroop
New: Big data for retinal development, evolution and genetics

Belinda Seto
New: NIH big data initiatives, infrastructure

Joshua Stein
Practical considerations for performing analyses using health care claims data
Presentation not available

Anne Coleman
New: Practical considerations of working with registries

Michael Chiang
New: Practical considerations of doing big data studies with EHRs

Jayashree Kalpathy-Cramer
Practical considerations of doing machine learning
Presentation not available

Aaron Lee
New: Practical considerations of visualizing big data

Anand Swaroop
New: Practical considerations of using big data in genetics research