Dry Eye Disease

This comprehensive dataset is designed for predictive modeling and diagnostic analysis of Dry Eye Disease (DED) based on key attributes such as sleep quality, sleep duration, eye redness, itchiness, screen time, blue-light filter usage and eye strain. It includes structured data from diverse subjects with age ranging from 18 to 45, enabling researchers and healthcare professionals to explore correlations between lifestyle factors and ocular health. The dataset can be used for machine learning models, statistical analysis, and clinical decision-making to enhance early detection and personalized treatment strategies for DED. It can also be used to predict another severe sleep related diseases such as insomnia which can be directly linked with ocular surface diseases (OSD).