Feiran Wei
Dados Biográficos
| ID | 7779712 |
|---|---|
| NOME | Feiran Wei |
| PRENOMES | Feiran |
| SOBRENOME | Wei |
| ASSINATURA | WEI F |
| AFILIAÇÕES | Southeast University |
| ORCID | 0000-0003-0096-8452 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2024 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 0 |
Epidemiological association and machine learning-based prediction of lung cancer risk linked to long-term lagged satellite-derived PM2.5 in China
Objectives This study investigated association between long-term PM 2.5 exposure and lung cancer incidence, focusing on Jiangsu Province, China. We aimed to explore the effects of historical PM 2.5 with time lags and build a prediction model using machine learning methods. Study design An ecological epidemiology study. Methods Lung cancer incidence data from Jiangsu Province (2014–2018) were combined with annual PM 2.5 concentration data from sat…
Age-standardized incidence, prevalence, and mortality rates of autoimmune diseases in adolescents and young adults (15–39 years)
ADs among AYAs present a substantial public health burden with notable regional disparities in incidence, prevalence, and mortality rates. Understanding these patterns is essential for developing targeted public health interventions and policies to mitigate the impact of ADs in this population
Sem obras proeminentes nesta página.
Age-standardized incidence, prevalence, and mortality rates of autoimmune diseases in adolescents and young adults (15–39 years)
ADs among AYAs present a substantial public health burden with notable regional disparities in incidence, prevalence, and mortality rates. Understanding these patterns is essential for developing targeted public health interventions and policies to mitigate the impact of ADs in this population
Epidemiological association and machine learning-based prediction of lung cancer risk linked to long-term lagged satellite-derived PM2.5 in China
Objectives This study investigated association between long-term PM 2.5 exposure and lung cancer incidence, focusing on Jiangsu Province, China. We aimed to explore the effects of historical PM 2.5 with time lags and build a prediction model using machine learning methods. Study design An ecological epidemiology study. Methods Lung cancer incidence data from Jiangsu Province (2014–2018) were combined with annual PM 2.5 concentration data from sat…
Environmental health (2 obras) · Epidemiology (2 obras) · Medicine (2 obras) · Pathology (2 obras) · Advanced Technologies in Various Fields (1 obras) · Air Quality and Health Impacts (1 obras) · Air Quality Monitoring and Forecasting (1 obras) · Artificial Intelligence (1 obras) · Biostatistics (1 obras) · Celiac Disease Research and Management (1 obras)