Application of Random Forests Methods to Diabetic Retinopathy Classification Analyses

Diabetic retinopathy (DR) is one of the leading causes of blindness in the United States and world-wide. DR is a silent disease that may go unnoticed until it is too late for effective treatment. Therefore, early detection could improve the chances of therapeutic interventions that would alleviate i...

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Veröffentlicht in:	PloS one Jg. 9; H. 6; S. e98587
Hauptverfasser:	Casanova, Ramon, Saldana, Santiago, Chew, Emily Y., Danis, Ronald P., Greven, Craig M., Ambrosius, Walter T.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 18.06.2014 Public Library of Science (PLoS)
Schlagworte:	Aged Alzheimer's disease Artificial intelligence Automation Blindness Brain research Classification Classifiers Computer and Information Sciences Data processing Decision Trees Diabetes Diabetes mellitus Diabetes Mellitus, Type 2 - complications Diabetic retinopathy Diabetic Retinopathy - classification Diabetic Retinopathy - diagnosis Diagnostic Techniques, Ophthalmological Humans Medicine Medicine and Health Sciences Middle Aged Model accuracy Photography Physical Sciences Regression analysis Retinopathy Risk assessment ROC Curve Statistical analysis Studies Teaching methods Therapeutic applications
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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