Zhenxing Xu
Biographic Data
| ID | 9966014 |
|---|---|
| NAME | Zhenxing Xu |
| GIVEN NAMES | Zhenxing |
| FAMILY NAME | Xu |
| SIGNATURE | XU Z |
| AFFILIATIONS | Zhejiang University of Science and Technology |
| ORCID | 0000-0002-5234-2956 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Causality of particulate matter on cardiovascular diseases and cardiovascular biomarkers
Background Previous observational studies have shown that the prevalence of cardiovascular diseases (CVDs) is related to particulate matter (PM). However, given the methodological limitations of conventional observational research, it is difficult to identify causality conclusively. To explore the causality of PM on CVDs and cardiovascular biomarkers, we conducted a Mendelian randomization (MR) analysis. Method In this study, we obtained summary-…
A Convolutional Neural Network and Matrix Factorization-Based Travel Location Recommendation Method Using Community-Contributed Geotagged Photos
Travel location recommendation methods using community-contributed geotagged photos are based on past check-ins. Therefore, these methods cannot effectively work for new travel locations, i.e., they suffer from the travel location cold start problem. In this study, we propose a convolutional neural network and matrix factorization-based travel location recommendation method to address the problem. Specifically, a weighted matrix factorization met…
No prominent works on this page.
A Convolutional Neural Network and Matrix Factorization-Based Travel Location Recommendation Method Using Community-Contributed Geotagged Photos
Travel location recommendation methods using community-contributed geotagged photos are based on past check-ins. Therefore, these methods cannot effectively work for new travel locations, i.e., they suffer from the travel location cold start problem. In this study, we propose a convolutional neural network and matrix factorization-based travel location recommendation method to address the problem. Specifically, a weighted matrix factorization met…
Causality of particulate matter on cardiovascular diseases and cardiovascular biomarkers
Background Previous observational studies have shown that the prevalence of cardiovascular diseases (CVDs) is related to particulate matter (PM). However, given the methodological limitations of conventional observational research, it is difficult to identify causality conclusively. To explore the causality of PM on CVDs and cardiovascular biomarkers, we conducted a Mendelian randomization (MR) analysis. Method In this study, we obtained summary-…
Advanced Image and Video Retrieval Techniques (1 work) · Air Quality and Health Impacts (1 work) · Artificial Intelligence (1 work) · Body mass index (1 work) · Cardiology (1 work) · Computer Science (1 work) · Confidence interval (1 work) · Confounding (1 work) · Convolutional neural network (1 work) · Data mining (1 work)