Yufeng Gao
Biographic Data
| ID | 7745971 |
|---|---|
| NAME | Yufeng Gao |
| GIVEN NAMES | Yufeng |
| FAMILY NAME | Gao |
| SIGNATURE | GAO Y |
| AFFILIATIONS | Anhui Medical University |
| ORCID | 0000-0003-0032-3531 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Analysis of the association between urinary glyphosate exposure and fatty liver index
A positive linear association was found between Log e (uGLY) level and FLI. Participants who were female, 40 to 60 years old, and of ethnic backgrounds other than Mexican American, White, and Black, deserve more attention
Machine learning models including insulin resistance indexes for predicting liver stiffness in United States population
Background: Prevention and treatment of liver fibrosis at an early stage is of great prognostic importance, whereas changes in liver stiffness are often overlooked in patients before the onset of obvious clinical symptoms. Recognition of liver fibrosis at an early stage is therefore essential. Objective: An XGBoost machine learning model was constructed to predict participants' liver stiffness measures (LSM) from general characteristic informatio…
Blood Lead Exposure and Association With Hepatitis B Core Antibody in the United States
The objective of this project was to explore the distribution and related factors of blood lead and the association between blood lead and hepatitis B core antibody (HBcAb). All the data were from the U.S. National Health and Nutrition Examination Survey (NHANES). In total, 15,097 (aged 20–80 years) participants were included. Participants without a history of blood transfusion were more likely to be exposed to lower levels of blood lead [−2.30 (…
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Machine learning models including insulin resistance indexes for predicting liver stiffness in United States population
Background: Prevention and treatment of liver fibrosis at an early stage is of great prognostic importance, whereas changes in liver stiffness are often overlooked in patients before the onset of obvious clinical symptoms. Recognition of liver fibrosis at an early stage is therefore essential. Objective: An XGBoost machine learning model was constructed to predict participants' liver stiffness measures (LSM) from general characteristic informatio…
Blood Lead Exposure and Association With Hepatitis B Core Antibody in the United States
The objective of this project was to explore the distribution and related factors of blood lead and the association between blood lead and hepatitis B core antibody (HBcAb). All the data were from the U.S. National Health and Nutrition Examination Survey (NHANES). In total, 15,097 (aged 20–80 years) participants were included. Participants without a history of blood transfusion were more likely to be exposed to lower levels of blood lead [−2.30 (…
Analysis of the association between urinary glyphosate exposure and fatty liver index
A positive linear association was found between Log e (uGLY) level and FLI. Participants who were female, 40 to 60 years old, and of ethnic backgrounds other than Mexican American, White, and Black, deserve more attention
Environmental health (3 works) · Internal Medicine (3 works) · Medicine (3 works) · National Health and Nutrition Examination Survey (3 works) · Population (3 works) · Demography (2 works) · Acute Lymphoblastic Leukemia research (1 work) · Artificial Intelligence (1 work) · Blood lead level (1 work) · Body mass index (1 work)