Aoxiang Luo
Biographic Data
| ID | 7954475 |
|---|---|
| NAME | Aoxiang Luo |
| GIVEN NAMES | Aoxiang |
| FAMILY NAME | Luo |
| SIGNATURE | LUO A |
| AFFILIATIONS | Guangdong Pharmaceutical University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The role of cognitive function in predicting metabolic risk in schizophrenia
Modeling based on concise clinical and cognitive indicators can effectively achieve metabolic risk stratification in patients with schizophrenia. Rather than relying on a single algorithm, combining the complementary strengths of RF and SVM and selecting models according to specific clinical needs and data characteristics may improve the identification of high-risk individuals and support proactive intervention and management
Trends in incidence, prevalence, and disability-adjusted life years of schizophrenia in China from 1990 to 2021, with projections for 2022-2050
GBD 2021 data reveal a rising SCZ burden in China, especially in ASPR and ASDR, posing increasing public health challenges. Males bore a consistently higher burden, but the female burden increased faster than the global average, highlighting gender-specific concerns. Age patterns emphasize young and middle-aged populations as key targets for intervention. Projected increases in incidence and mortality call for enhanced, tailored prevention and tr…
No prominent works on this page.
Trends in incidence, prevalence, and disability-adjusted life years of schizophrenia in China from 1990 to 2021, with projections for 2022-2050
GBD 2021 data reveal a rising SCZ burden in China, especially in ASPR and ASDR, posing increasing public health challenges. Males bore a consistently higher burden, but the female burden increased faster than the global average, highlighting gender-specific concerns. Age patterns emphasize young and middle-aged populations as key targets for intervention. Projected increases in incidence and mortality call for enhanced, tailored prevention and tr…
The role of cognitive function in predicting metabolic risk in schizophrenia
Modeling based on concise clinical and cognitive indicators can effectively achieve metabolic risk stratification in patients with schizophrenia. Rather than relying on a single algorithm, combining the complementary strengths of RF and SVM and selecting models according to specific clinical needs and data characteristics may improve the identification of high-risk individuals and support proactive intervention and management
Schizophrenia research and treatment (2 works) · China (1 works) · Cognition (1 works) · Dementia and Cognitive Impairment Research (1 works) · Demography (1 works) · Demography (1 works) · Function (biology (1 works) · Geography (1 works) · Gerontology (1 works) · Identification (biology (1 works)