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PREDICTING CLINICAL PARAMETERS RELATING TO GLAUCOMA FROM CENTRAL VISUAL FIELD PATTERNS
PREDICTING CLINICAL PARAMETERS RELATING TO GLAUCOMA FROM CENTRAL VISUAL FIELD PATTERNS
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机译：预测来自中央视野模式的临床参数与青光眼有关
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摘要
Systems and methods are provided for predicting clinical parameters relating to glaucoma from central visual field patterns. A system includes a processor, an output device, and a computer readable medium that stores executable instructions. The instructions provide a pattern decomposition component that receives a set of visual field data for a patient representing, for each of a plurality of locations in the central region of an eye of the patient, a deviation in sensitivity to a visual stimulus from an age-adjusted normal value and decomposes the set of visual field data into a linear combination of a set of patterns defined via archetypal analysis over a corpus of visual field data to provide a set of decomposition coefficients. A machine learning model determines a clinical parameter for the patient from at least the set of decomposition coefficients, and a user interface provides the determined clinical parameter to a user.
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