Zhen Xiang
Biographic Data
| ID | 8237602 |
|---|---|
| NAME | Zhen Xiang |
| GIVEN NAMES | Zhen |
| FAMILY NAME | Xiang |
| SIGNATURE | XIANG Z |
| AFFILIATIONS | Huazhong University of Science and Technology |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Enhancing diabetes risk stratification through natural language processing
Background This study investigates whether integrating Natural Language Processing (NLP) with traditional clinical data improves type 2 diabetes risk prediction by extracting latent risk factors from unstructured medical text. Methods We analyzed a public dataset of 1,879 individuals. Structured variables (BMI, HbA1c, blood pressure) were normalized, while unstructured textual entries (symptom descriptions, lifestyle notes) were processed using a…
Associations between trajectories of depressive symptoms and cognitive performance in Chinese adolescents
Subclinical depressive symptoms and the associated risk of cognitive deficits have been overlooked. We aimed to investigate depressive symptom trajectories and the effect of depressive symptoms on cognitive performance among Chinese adolescents. The research population of our study was 1314 adolescents aged 10-15 years old from the China Family Panel Studies. The Center for Epidemiologic Studies Depression Scale was used to assess the depressive …
No prominent works on this page.
Associations between trajectories of depressive symptoms and cognitive performance in Chinese adolescents
Subclinical depressive symptoms and the associated risk of cognitive deficits have been overlooked. We aimed to investigate depressive symptom trajectories and the effect of depressive symptoms on cognitive performance among Chinese adolescents. The research population of our study was 1314 adolescents aged 10-15 years old from the China Family Panel Studies. The Center for Epidemiologic Studies Depression Scale was used to assess the depressive …
Enhancing diabetes risk stratification through natural language processing
Background This study investigates whether integrating Natural Language Processing (NLP) with traditional clinical data improves type 2 diabetes risk prediction by extracting latent risk factors from unstructured medical text. Methods We analyzed a public dataset of 1,879 individuals. Structured variables (BMI, HbA1c, blood pressure) were normalized, while unstructured textual entries (symptom descriptions, lifestyle notes) were processed using a…
Artificial Intelligence in Healthcare (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Child and Adolescent Psychosocial and Emotional Development (1 work) · Clinical Psychology (1 work) · Clinical Psychology (1 work) · Cognition (1 work) · Cognitive psychology (1 work) · Cohort (1 work) · Depressive symptoms (1 work) · Developmental psychology (1 work)