Home
About
Overview
Sharing Data
ORCID
Help
History (4)
D'Anna, Laura
Machine Learning Approaches for Detecting Diabetic Retinopathy from Clinical and Public Health Records.
Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study.
Sidhom, Ramy
See All 4 Pages
Find People
Find Everything
Login
to edit your profile (add a photo, awards, links to other websites, etc.)
My Person List (
0
)
Return to Top
Machine Learning Approaches for Detecting Diabetic Retinopathy from Clinical and Public Health Records.
Machine Learning Approaches for Detecting Diabetic Retinopathy from Clinical and Public Health Records. AMIA Annu Symp Proc. 2015; 2015:983-90.
View in:
PubMed
subject areas
Diabetic Retinopathy
Humans
Machine Learning
Medically Underserved Area
Nutrition Surveys
Public Health Informatics
Retinal Diseases
Safety-net Providers
Sensitivity and Specificity
Statistics as Topic
United States
Urban Population
authors with profiles
Omolola Ogunyemi, PhD
Dulcie Kermah, EdD