Nur Vanu
Biographic Data
| ID | 6954502 |
|---|---|
| NAME | Nur Vanu |
| GIVEN NAMES | Nur |
| FAMILY NAME | Vanu |
| SIGNATURE | VANU N |
| AFFILIATIONS | Truven Health Analytics (United States) |
| ORCID | 0009-0001-0873-4119 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Artificial Intelligence in Mental Health
There is an unprecedented integration of machine learning and AI in mental healthcare which is creating changes in the ways diagnosis and treatment are provided ultimately improving the emotional health of the affected individuals. With the prevalence of mental health issues on the rise, the demand for new and improved approaches to the practice are evident. The purpose of the research is to analyze the effectiveness of AI technologies in the dia…
Harnessing Predictive Analytics
Machine learning and predictive analytics are revolutionizing healthcare systems by enhancing early disease detection and optimizing processes. By analyzing vast amounts of data, machine learning models can forecast disease onset before symptoms show up, enabling early intervention in chronic diseases like diabetes, heart disease, and cancer. This capability also helps optimize healthcare resources, enabling hospitals to better manage staffing an…
Developing Predictive AI Models for Securing U.S. Critical Infrastructure Against Emerging Cyber Threats
Smart grids (SGs) have emerged in the United States as part of the effort to modernize the nation’s aging electricity infrastructure. While existing cybersecurity tools are generally effective at detecting and preventing known threats, they fall short in addressing the growing complexity of advanced cyberattacks. Ensuring robust protection for the U.S. smart grid requires a comprehensive approach that integrates advanced technologies and proactiv…
No prominent works on this page.
Developing Predictive AI Models for Securing U.S. Critical Infrastructure Against Emerging Cyber Threats
Smart grids (SGs) have emerged in the United States as part of the effort to modernize the nation’s aging electricity infrastructure. While existing cybersecurity tools are generally effective at detecting and preventing known threats, they fall short in addressing the growing complexity of advanced cyberattacks. Ensuring robust protection for the U.S. smart grid requires a comprehensive approach that integrates advanced technologies and proactiv…
Artificial Intelligence in Mental Health
There is an unprecedented integration of machine learning and AI in mental healthcare which is creating changes in the ways diagnosis and treatment are provided ultimately improving the emotional health of the affected individuals. With the prevalence of mental health issues on the rise, the demand for new and improved approaches to the practice are evident. The purpose of the research is to analyze the effectiveness of AI technologies in the dia…
Harnessing Predictive Analytics
Machine learning and predictive analytics are revolutionizing healthcare systems by enhancing early disease detection and optimizing processes. By analyzing vast amounts of data, machine learning models can forecast disease onset before symptoms show up, enabling early intervention in chronic diseases like diabetes, heart disease, and cancer. This capability also helps optimize healthcare resources, enabling hospitals to better manage staffing an…
Computer Science (3 works) · Artificial Intelligence (2 works) · Analytics (1 works) · Applied Psychology (1 works) · Artificial Intelligence in Healthcare (1 works) · Business (1 works) · Computer security (1 works) · Critical infrastructure (1 works) · Data science (1 works) · Developmental psychology (1 works)