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Prediction Model for Dry Eye Syndrome Incidence Rate Using Air Pollutants and Meteorological Factors in South Korea: Analysis of Sub-Region Deviations
Here, we develop a dry eye syndrome (DES) incidence rate prediction model using air pollutants (PM(10), NO(2), SO(2), O(3), and CO), meteorological factors (temperature, humidity, and wind speed), population rate, and clinical data for South Korea. The prediction model is well fitted to the incidenc...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7399894/ https://www.ncbi.nlm.nih.gov/pubmed/32664192 http://dx.doi.org/10.3390/ijerph17144969 |