Yuxin Tong
Biographic Data
| ID | 7974549 |
|---|---|
| NAME | Yuxin Tong |
| GIVEN NAMES | Yuxin |
| FAMILY NAME | Tong |
| SIGNATURE | TONG Y |
| AFFILIATIONS | Chinese Academy of Sciences |
| ORCID | 0000-0002-2775-6057 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Construction and evaluation of leukemia suicide risk predictive model based on Seer database
We have successfully developed an intuitive and robust predictive model for assessing the suicide risk among leukemia patients. This model holds the potential to contribute to the reduction of preventable deaths
Comparison of secular trends of leukemia in China and the United States from 1990 to 2021 and their projections for the next 15 years
Background: Leukemia imposes a large healthcare burden both in China and the United States (US). The disease burden differs greatly between the two countries, but related research is limited. We explored the differences in leukemia incidence and mortality between China and the US. Methods: Data on leukemia in China and the US from 1990 to 2021 were collected from the Global Burden of Disease 2021 database. Incidence and mortality were used to est…
No prominent works on this page.
Comparison of secular trends of leukemia in China and the United States from 1990 to 2021 and their projections for the next 15 years
Background: Leukemia imposes a large healthcare burden both in China and the United States (US). The disease burden differs greatly between the two countries, but related research is limited. We explored the differences in leukemia incidence and mortality between China and the US. Methods: Data on leukemia in China and the US from 1990 to 2021 were collected from the Global Burden of Disease 2021 database. Incidence and mortality were used to est…
Construction and evaluation of leukemia suicide risk predictive model based on Seer database
We have successfully developed an intuitive and robust predictive model for assessing the suicide risk among leukemia patients. This model holds the potential to contribute to the reduction of preventable deaths
Medicine (2 works) · Acute Lymphoblastic Leukemia research (1 work) · Cancer survivorship and care (1 work) · Childhood Cancer Survivors' Quality of Life (1 work) · China (1 work) · Computer Science (1 work) · Database (1 work) · Demography (1 work) · Folate and B Vitamins Research (1 work) · Geography (1 work)