IDOCS: Intelligent Distributed Ontology Consensus System—The Use of Machine Learning in Retinal Drusen Phenotyping | Zendy

George Thomas | Zendy; Michael A. Grassi | Zendy; John R. Lee | Zendy; Albert O. Edwards | Zendy; Michael B. Gorin | Zendy; Ronald Klein | Zendy; Thomas L. Casavant | Zendy; Todd E. Scheetz | Zendy; Edwin M. Stone | Zendy; Andrew B. Williams | Zendy

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IDOCS: Intelligent Distributed Ontology Consensus System—The Use of Machine Learning in Retinal Drusen Phenotyping

Author(s) -

George Thomas,

Michael A. Grassi,

John R. Lee,

Albert O. Edwards,

Michael B. Gorin,

Ronald Klein,

Thomas L. Casavant,

Todd E. Scheetz,

Edwin M. Stone,

Andrew B. Williams

Publication year - 2007

Publication title -

investigative ophthalmology and visual science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.935

H-Index - 218

eISSN - 1552-5783

pISSN - 0146-0404

DOI - 10.1167/iovs.06-1022

Subject(s) - drusen , artificial intelligence , computer science , vocabulary , feature (linguistics) , machine learning , set (abstract data type) , macular degeneration , ontology , medicine , epistemology , linguistics , philosophy , ophthalmology , programming language

To use the power of knowledge acquisition and machine learning in the development of a collaborative computer classification system based on the features of age-related macular degeneration (AMD).

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