Pattern recognition can detect subtle field defects in eyes of HIV individuals without retinitis under HAART

OBJECTIVES: To use machine learning classifiers (MLCs) to seek differences in visual fields (VFs) between normal eyes and eyes of HIV+ patients; to find the effect of immunodeficiency on VFs and to compare the effectiveness of MLCs to commonly-used Statpac global indices in analyzing standard automa...

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Detalles Bibliográficos
Autores principales: Goldbaum, Michael H., Kozak, Igor, Hao, Jiucang, Sample, Pamela A., Lee, TeWon, Grant, Igor, Freeman, William R.
Formato: Texto
Lenguaje:English
Publicado: Springer-Verlag 2010
Materias:
Retinal Disorders
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3070878/
https://www.ncbi.nlm.nih.gov/pubmed/20865422
http://dx.doi.org/10.1007/s00417-010-1511-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3070878/
https://www.ncbi.nlm.nih.gov/pubmed/20865422
http://dx.doi.org/10.1007/s00417-010-1511-x

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