Eye Detection to Identify Novel Coronavirus Infection

Risk Screening Based on Feature Recognition and Detection of Eye Surface Images of COVID-2019 Patients and Statistical Analysis of High-dimensional Data

The eye characteristics of patients with COVID-19 and those without the disease were analyzed, and whether they had the disease or not was judged according to the eye characteristics.

To test the accuracy of a non-invasive eye monitoring that can be widely used for screening in judging patients with novel coronavirus infection.

Inclusion Criteria:

1. All participants were provided with written informed consent at the time of recruitment；
2. Age ≥ 18 and ≤ 75 (informed consent signed by guardian under 18)
3. Meet the diagnostic criteria of novel coronavirus (2019-COVID-19) infection

Exclusion Criteria:

Does not meet any of the inclusion criteria