| scholarly article | Q13442814 |
| P50 | author | Atul Butte | Q4818772 |
| Kyoung Yul Seo | Q41489571 | ||
| Sang Min Nam | Q52360428 | ||
| Thomas A Peterson | Q90035228 | ||
| Hyun Wook Han | Q90035237 | ||
| P2860 | cites work | An Overview of Ophthalmologic Survey Methodology in the 2008-2015 Korean National Health and Nutrition Examination Surveys | Q26774854 |
| Lanosterol reverses protein aggregation in cataracts | Q28114922 | ||
| Regularization Paths for Generalized Linear Models via Coordinate Descent | Q29614491 | ||
| Resolving inflammation: dual anti-inflammatory and pro-resolution lipid mediators | Q29615694 | ||
| Pharmacological chaperone for α-crystallin partially restores transparency in cataract models | Q30700509 | ||
| Data resource profile: the Korea National Health and Nutrition Examination Survey (KNHANES). | Q30768500 | ||
| Are higher blood mercury levels associated with dry eye symptoms in adult Koreans? A population-based cross-sectional study | Q36861178 | ||
| Total cholesterol and lipoprotein composition are associated with dry eye disease in Korean women. | Q36922666 | ||
| Developing points-based risk-scoring systems in the presence of competing risks | Q37375552 | ||
| TFOS DEWS II Epidemiology Report | Q38652994 | ||
| Depression and anxiety in dry eye disease: a systematic review and meta-analysis | Q38926020 | ||
| Identifying highly influential nodes in the complicated grief network | Q39507672 | ||
| Prevalence of and risk factors associated with dry eye: the Korea National Health and Nutrition Examination Survey 2010-2011. | Q40217063 | ||
| What you see may not be what you get: a brief, nontechnical introduction to overfitting in regression-type models | Q40505322 | ||
| Prevalence of allergic rhinitis symptoms and positive skin-prick test results in patients with dry eye. | Q40851902 | ||
| Depression, Stress, Quality of Life, and Dry Eye Disease in Korean Women: A Population-Based Study | Q40910039 | ||
| The association between sleep duration and dry eye syndrome among Korean adults. | Q41189085 | ||
| TFOS DEWS II Report Executive Summary. | Q46919939 | ||
| Prevalence of dry eye disease and its association with dyslipidemia | Q47213683 | ||
| Network analysis of multiple risk factors for mental health in young Colombian adults. | Q47270269 | ||
| Using Lasso for Predictor Selection and to Assuage Overfitting: A Method Long Overlooked in Behavioral Sciences. | Q50765394 | ||
| Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. | Q51679983 | ||
| Sterol Metabolism and Transport in Atherosclerosis and Cancer | Q57072613 | ||
| Association of dyslipidemia and oral statin use, and dry eye disease symptoms in the Blue Mountains Eye Study | Q57091538 | ||
| Omega-3 supplements for dry eye | Q59809603 | ||
| Introduction to Machine Learning for Ophthalmologists | Q62492811 | ||
| n-3 Fatty Acid Supplementation for the Treatment of Dry Eye Disease | Q88350776 | ||
| A Pilot Study Investigating the Impact of Topical Nasal Steroid Spray in Allergic Rhinitis Patients with Dry Eye | Q88591380 | ||
| Dry Eye | Q89010945 | ||
| P4510 | describes a project that uses | ggplot2 | Q326489 |
| P433 | issue | 2 | |
| P921 | main subject | machine learning | Q2539 |
| eye disease | Q3041498 | ||
| P304 | page(s) | e16153 | |
| P577 | publication date | 2020-02-20 | |
| P1433 | published in | JMIR medical informatics | Q27726043 |
| P1476 | title | Explanatory Model of Dry Eye Disease Using Health and Nutrition Examinations: Machine Learning and Network-Based Factor Analysis From a National Survey | |
| P478 | volume | 8 |
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