Qiwei Yu
Biographic Data
| ID | 7916044 |
|---|---|
| NAME | Qiwei Yu |
| GIVEN NAMES | Qiwei |
| FAMILY NAME | Yu |
| SIGNATURE | YU Q |
| AFFILIATIONS | Beijing Normal University |
| ORCID | 0000-0002-1058-5554 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
MPCPFL
With the global aging population on the rise, the amount of disease data related to the elderly is also increasing. Effectively protecting personal data when analyzing and processing disease data has become crucial. Federated learning (FL), as a proven method, is widely used. In the multimodal FL for disease diagnosis, the intricate challenge of modality missing and heterogeneous data distribution across healthcare clients severely degrades model…
Prognostic Value of Centrosome Replication-Related Genes in Prostate Cancer Based on Transcriptomic and Mendelian Randomization
Prostate cancer (PCa) is a significant global health concern, with its incidence and mortality rates projected to rise due to population aging. In this study, we utilized PCa transcriptome data from public databases and applied bioinformatics methods to identify three prognostic genes ( CDC20 , RAD51 , and TTK ) related to centrosome duplication in PCa. CDC20 is involved in cell cycle regulation, RAD51 in deoxyribonucleic acid double-strand break…
Exploring sustainable watershed flood risks management
Socio-demographic factors shape mortality risk linked to compound drought-heatwave events under climate change in China
Relationship between Air Pollutant Exposure and Gynecologic Cancer Risk
Exposure to air pollution has been suggested to be associated with an increased risk of women's health disorders. However, it remains unknown to what extent changes in ambient air pollution affect gynecological cancer. In our case-control study, the logistic regression model was combined with the restricted cubic spline to examine the association of short-term exposure to air pollution with gynecological cancer events using the clinical data of 3…
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Relationship between Air Pollutant Exposure and Gynecologic Cancer Risk
Exposure to air pollution has been suggested to be associated with an increased risk of women's health disorders. However, it remains unknown to what extent changes in ambient air pollution affect gynecological cancer. In our case-control study, the logistic regression model was combined with the restricted cubic spline to examine the association of short-term exposure to air pollution with gynecological cancer events using the clinical data of 3…
Exploring sustainable watershed flood risks management
Socio-demographic factors shape mortality risk linked to compound drought-heatwave events under climate change in China
Prognostic Value of Centrosome Replication-Related Genes in Prostate Cancer Based on Transcriptomic and Mendelian Randomization
Prostate cancer (PCa) is a significant global health concern, with its incidence and mortality rates projected to rise due to population aging. In this study, we utilized PCa transcriptome data from public databases and applied bioinformatics methods to identify three prognostic genes ( CDC20 , RAD51 , and TTK ) related to centrosome duplication in PCa. CDC20 is involved in cell cycle regulation, RAD51 in deoxyribonucleic acid double-strand break…
MPCPFL
With the global aging population on the rise, the amount of disease data related to the elderly is also increasing. Effectively protecting personal data when analyzing and processing disease data has become crucial. Federated learning (FL), as a proven method, is widely used. In the multimodal FL for disease diagnosis, the intricate challenge of modality missing and heterogeneous data distribution across healthcare clients severely degrades model…
Biology (2 works) · Cancer (2 works) · Climate Change and Health Impacts (2 works) · Environmental health (2 works) · Environmental Science (2 works) · Geography (2 works) · Medicine (2 works) · Agricultural risk and resilience (1 works) · Air pollutants (1 works) · Air pollution (1 works)