Dry Eye Evaluation System Based on Bioinformatics

Dry eye is a common ocular surface disease of multifactorial etiology characterized by elevated tear osmolality and inflammation leading to a disrupted ocular surface. The latter is a risk factor for ocular surface infection, yet overt infection is not commonly seen clinically in the typical dry eye patient. This suggests that important innate mechanisms operate to protect the dry eye from invading pathogens. Understand the pathogenesis of dry eye will be the measure to prevention and treatment of dry eye. In this essay, the investigators use the data of experiment in the patients with dry eye and normal, acquire their tear production, tear film stability, and surface damage. The investigators use weka to calculate the prediction accuracy of the 6 algorithm and select the best one, optimize the parameters to get the final prediction accuracy.

Dry Eye Evaluation System Based on Bioinformatics

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