Ruifang Zhao
Biographic Data
| ID | 9967610 |
|---|---|
| NAME | Ruifang Zhao |
| GIVEN NAMES | Ruifang |
| FAMILY NAME | Zhao |
| SIGNATURE | ZHAO R |
| AFFILIATIONS | Beijing Technology and Business University |
| ORCID | 0000-0002-2735-2159 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Patient subgroups and shifting incidence trends
Background: Severe mental disorders (SMD) pose a significant public health challenge. Comprehensive epidemiological data are crucial for informing effective management strategies, yet detailed profiles from specific regions like Quzhou, China, remain limited. Methods: This retrospective study analyzed data from 11,589 patients with registered SMD in Quzhou, sourced from the National Information System for Psychosis. We extracted demographic, clin…
Spatial Distribution Assessment of Terrorist Attack Types Based on I-MLKNN Model
Terrorist attacks are harmful to lives and property and seriously affect the stability of the international community and economic development. Exploring the regularity of terrorist attacks and building a model for assessing the risk of terrorist attacks (a kind of public safety risk, and it means the possibility of a terrorist attack) are of great significance to the security and stability of the international community and to global anti-terror…
No prominent works on this page.
Spatial Distribution Assessment of Terrorist Attack Types Based on I-MLKNN Model
Terrorist attacks are harmful to lives and property and seriously affect the stability of the international community and economic development. Exploring the regularity of terrorist attacks and building a model for assessing the risk of terrorist attacks (a kind of public safety risk, and it means the possibility of a terrorist attack) are of great significance to the security and stability of the international community and to global anti-terror…
Patient subgroups and shifting incidence trends
Background: Severe mental disorders (SMD) pose a significant public health challenge. Comprehensive epidemiological data are crucial for informing effective management strategies, yet detailed profiles from specific regions like Quzhou, China, remain limited. Methods: This retrospective study analyzed data from 11,589 patients with registered SMD in Quzhou, sourced from the National Information System for Psychosis. We extracted demographic, clin…
Bipolar disorder (1 work) · Bipolar Disorder and Treatment (1 work) · Business (1 work) · Cohort (1 work) · Computer Science (1 work) · Computer security (1 work) · Data-Driven Disease Surveillance (1 work) · Epidemiology (1 work) · Geography (1 work) · Law (1 work)