Liang Ni
Biographic Data
| ID | 164881 |
|---|---|
| NAME | Liang Ni |
| GIVEN NAMES | Liang |
| FAMILY NAME | Ni |
| SIGNATURE | NI L |
| AFFILIATIONS | Capital Medical University |
| ORCID | 0000-0002-6463-7823 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Using explainable artificial intelligence to investigate key factors predicting students’ creativity
Supervised machine learning algorithms to predict the duration and risk of long-term hospitalization in HIV-infected individuals: A retrospective study
Objective: The study aimed to use supervised machine learning models to predict the length and risk of prolonged hospitalization in PLWHs to help physicians timely clinical intervention and avoid waste of health resources. Methods: , while classification models were established based on RF, KNN, SVM, NN, and XGB to predict risk of prolonged hospital stay using accuracy, PPV, NPV, specificity, sensitivity, and kappa, and visualization evaluation b…
Comparative evaluation of four Lycium barbarum cultivars on NaIO3-induced retinal degeneration mice via multivariate statistical analysis
Remote versus In-Person Health Education: Feasibility, Satisfaction, and Health Literacy for Diverse Older Adults
Objectives Health education may improve health in geriatric patients. To evaluate differences between remote and in-person education, the DREAMS ( Developing a Research Participation Enhancement and Advocacy Training Program for Diverse Seniors) health seminar series compared in-person and remote learning groups to assess feasibility, satisfaction, adherence, health literacy, and cognitive outcomes. Research Design Nonrandomized two-arm intervent…
The Relationship Between Attitudes about Research and Health Literacy among African American and White (Non-Hispanic) Community Dwelling Older Adults
Factors associated with chemical burns in Zhejiang province, China: An epidemiological study
Most chemical burns are preventable occupational injuries that can be attributed to inappropriate operation of equipment or handling of chemicals, lack of employee awareness about appropriate action and lack of effective protective equipment and training. Emphasis on safety education and protection for workers may help protect workers and prevent chemical burns
No prominent works on this page.
Factors associated with chemical burns in Zhejiang province, China: An epidemiological study
Most chemical burns are preventable occupational injuries that can be attributed to inappropriate operation of equipment or handling of chemicals, lack of employee awareness about appropriate action and lack of effective protective equipment and training. Emphasis on safety education and protection for workers may help protect workers and prevent chemical burns
The Relationship Between Attitudes about Research and Health Literacy among African American and White (Non-Hispanic) Community Dwelling Older Adults
Remote versus In-Person Health Education: Feasibility, Satisfaction, and Health Literacy for Diverse Older Adults
Objectives Health education may improve health in geriatric patients. To evaluate differences between remote and in-person education, the DREAMS ( Developing a Research Participation Enhancement and Advocacy Training Program for Diverse Seniors) health seminar series compared in-person and remote learning groups to assess feasibility, satisfaction, adherence, health literacy, and cognitive outcomes. Research Design Nonrandomized two-arm intervent…
Supervised machine learning algorithms to predict the duration and risk of long-term hospitalization in HIV-infected individuals: A retrospective study
Objective: The study aimed to use supervised machine learning models to predict the length and risk of prolonged hospitalization in PLWHs to help physicians timely clinical intervention and avoid waste of health resources. Methods: , while classification models were established based on RF, KNN, SVM, NN, and XGB to predict risk of prolonged hospital stay using accuracy, PPV, NPV, specificity, sensitivity, and kappa, and visualization evaluation b…
Comparative evaluation of four Lycium barbarum cultivars on NaIO3-induced retinal degeneration mice via multivariate statistical analysis
Using explainable artificial intelligence to investigate key factors predicting students’ creativity
Medicine (5 works) · Epidemiology (2 works) · Gerontology (2 works) · Health care (2 works) · Health literacy (2 works) · Health Literacy and Information Accessibility (2 works) · Literacy (2 works) · Pathology (2 works) · Psychology (2 works) · Public health (2 works)