Nan Jin
Biographic Data
| ID | 7866134 |
|---|---|
| NAME | Nan Jin |
| FAMILY NAME | Jin |
| SIGNATURE | JIN N |
| AFFILIATIONS | Tianjin Medical University Eye Hospital |
| ORCID | 0000-0001-7772-3563 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Combined and interaction effects of outdoor and reading time on myopia onset
Background: While numerous studies have examined the individual effects of outdoor and reading time on myopia, the interaction between these factors in large populations remains underexplored. We hypothesised that increased outdoor exposure may mitigate the risk of myopia associated with prolonged reading. Methods: We included 219 802 initially non-myopic primary school students in the Tianjin Child and Adolescent Research of Eye study. We collec…
Prediction of spherical equivalent difference before and after cycloplegia in school-age children with machine learning algorithms
Purpose: To predict the need for cycloplegic assessment, as well as refractive state under cycloplegia, based on non-cycloplegic ocular parameters in school-age children. Design: Random cluster sampling. Methods: The cross-sectional study was conducted from December 2018 to January 2019. Random cluster sampling was used to select 2,467 students aged 6-18 years. All participants were from primary school, middle school and high school. Visual acuit…
A Deep Learning-Based Model for Predicting Abnormal Liver Function in Workers in the Automotive Manufacturing Industry
To identify the influencing factors and develop a predictive model for the risk of abnormal liver function in the automotive manufacturing industry works in Chongqing. Automotive manufacturing workers in Chongqing city surveyed during 2019-2021 were used as the study subjects. Logistic regression analysis was used to identify the influencing factors of abnormal liver function. A restricted cubic spline model was used to further explore the influe…
Workers’ Occupational Dust Exposure and Pulmonary Function Assessment
Workers exposed to occupational dust have a high rate of abnormal lung function. The government, enterprises, and individuals should pay attention to occupational dust exposure, and various effective measures should be actively taken to protect the life and health of workers
Balanced Convolutional Neural Networks for Pneumoconiosis Detection
Pneumoconiosis remains one of the most common and harmful occupational diseases in China, leading to huge economic losses to society with its high prevalence and costly treatment. Diagnosis of pneumoconiosis still strongly depends on the experience of radiologists, which affects rapid detection on large populations. Recent research focuses on computer-aided detection based on machine learning. These have achieved high accuracy, among which artifi…
Chinese medical teams in Africa
Socioeconomic status and hypertension
BACKGROUND: The relationship between socioeconomic status (SES) and hypertension has been studied in a number of reviews. However, the impact of SES on hypertension has been reported in several studies with conflicting results. METHODS: A systematic search was performed in PubMed, Proquest and Cochrane databases for observational studies on hypertension prevalence and SES, published in English, until March 2014. Hypertension was defined as a mean…
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Socioeconomic status and hypertension
BACKGROUND: The relationship between socioeconomic status (SES) and hypertension has been studied in a number of reviews. However, the impact of SES on hypertension has been reported in several studies with conflicting results. METHODS: A systematic search was performed in PubMed, Proquest and Cochrane databases for observational studies on hypertension prevalence and SES, published in English, until March 2014. Hypertension was defined as a mean…
Chinese medical teams in Africa
Balanced Convolutional Neural Networks for Pneumoconiosis Detection
Pneumoconiosis remains one of the most common and harmful occupational diseases in China, leading to huge economic losses to society with its high prevalence and costly treatment. Diagnosis of pneumoconiosis still strongly depends on the experience of radiologists, which affects rapid detection on large populations. Recent research focuses on computer-aided detection based on machine learning. These have achieved high accuracy, among which artifi…
A Deep Learning-Based Model for Predicting Abnormal Liver Function in Workers in the Automotive Manufacturing Industry
To identify the influencing factors and develop a predictive model for the risk of abnormal liver function in the automotive manufacturing industry works in Chongqing. Automotive manufacturing workers in Chongqing city surveyed during 2019-2021 were used as the study subjects. Logistic regression analysis was used to identify the influencing factors of abnormal liver function. A restricted cubic spline model was used to further explore the influe…
Workers’ Occupational Dust Exposure and Pulmonary Function Assessment
Workers exposed to occupational dust have a high rate of abnormal lung function. The government, enterprises, and individuals should pay attention to occupational dust exposure, and various effective measures should be actively taken to protect the life and health of workers
Prediction of spherical equivalent difference before and after cycloplegia in school-age children with machine learning algorithms
Purpose: To predict the need for cycloplegic assessment, as well as refractive state under cycloplegia, based on non-cycloplegic ocular parameters in school-age children. Design: Random cluster sampling. Methods: The cross-sectional study was conducted from December 2018 to January 2019. Random cluster sampling was used to select 2,467 students aged 6-18 years. All participants were from primary school, middle school and high school. Visual acuit…
Combined and interaction effects of outdoor and reading time on myopia onset
Background: While numerous studies have examined the individual effects of outdoor and reading time on myopia, the interaction between these factors in large populations remains underexplored. We hypothesised that increased outdoor exposure may mitigate the risk of myopia associated with prolonged reading. Methods: We included 219 802 initially non-myopic primary school students in the Tianjin Child and Adolescent Research of Eye study. We collec…
Medicine (6 works) · Computer Science (3 works) · Artificial Intelligence (2 works) · China (2 works) · Environmental health (2 works) · Internal Medicine (2 works) · Machine learning (2 works) · Mathematics (2 works) · MEDLINE (2 works) · Ophthalmology and Visual Impairment Studies (2 works)