Xiaoqian Jiang
Biographic Data
| ID | 5543001 |
|---|---|
| NAME | Xiaoqian Jiang |
| GIVEN NAMES | Xiaoqian |
| FAMILY NAME | Jiang |
| SIGNATURE | JIANG X |
| AFFILIATIONS | Kunming University of Science and Technology |
| ORCID | 0000-0001-9933-2205 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Psychological crisis detection based on behavioral data
The findings suggest that the non-contact method is effective in predicting student psychological crisis. The use of Random Forest algorithm combined with Top-N assessment can effectively identify high-risk individuals and optimize intervention priorities. Furthermore, this study explored the applicability of non-contact methods for predicting students' psychological crisis in real-world scenarios
Elsholtzia bodinieri Vaniot ameliorated acute lung injury in mice by regulating pyroptosis, inflammation, oxidative stress and macrophage polarization
Privacy Technology to Support Data Sharing for Comparative Effectiveness Research
OBJECTIVE: Effective data sharing is critical for comparative effectiveness research (CER), but there are significant concerns about inappropriate disclosure of patient data. These concerns have spurred the development of new technologies for privacy-preserving data sharing and data mining. Our goal is to review existing and emerging techniques that may be appropriate for data sharing related to CER. MATERIALS AND METHODS: We adapted a systematic…
No prominent works on this page.
Privacy Technology to Support Data Sharing for Comparative Effectiveness Research
OBJECTIVE: Effective data sharing is critical for comparative effectiveness research (CER), but there are significant concerns about inappropriate disclosure of patient data. These concerns have spurred the development of new technologies for privacy-preserving data sharing and data mining. Our goal is to review existing and emerging techniques that may be appropriate for data sharing related to CER. MATERIALS AND METHODS: We adapted a systematic…
Elsholtzia bodinieri Vaniot ameliorated acute lung injury in mice by regulating pyroptosis, inflammation, oxidative stress and macrophage polarization
Psychological crisis detection based on behavioral data
The findings suggest that the non-contact method is effective in predicting student psychological crisis. The use of Random Forest algorithm combined with Top-N assessment can effectively identify high-risk individuals and optimize intervention priorities. Furthermore, this study explored the applicability of non-contact methods for predicting students' psychological crisis in real-world scenarios
Medicine (2 works) · Comparative effectiveness research (1 work) · Computer Science (1 work) · Crisis intervention (1 work) · Data science (1 work) · Data sharing (1 work) · Emotion and Mood Recognition (1 work) · Ethics in Clinical Research (1 work) · Field (mathematics) (1 work) · Health care (1 work)