Muslima Begom Riipa
Biographic Data
| ID | 6954503 |
|---|---|
| NAME | Muslima Begom Riipa |
| GIVEN NAMES | Muslima Begom |
| FAMILY NAME | Riipa |
| SIGNATURE | RIIPA M B |
| AFFILIATIONS | American University |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
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…
Integrating Artificial Intelligence and Big Data Analytics in Personalized Autism Treatment through Stem Cell Therapy
Background: Autism Spectrum Disorder (ASD) presents challenges in early diagnosis and personalized treatment due to the subjectivity of traditional screening methods and the lack of tailored therapeutic approaches. Artificial Intelligence (AI) and Big Data Analytics offer innovative solutions for enhancing diagnostic accuracy and optimizing treatment pathways. Objective: This study explores the application of AI in ASD diagnosis and predictive mo…
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…
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…
Integrating Artificial Intelligence and Big Data Analytics in Personalized Autism Treatment through Stem Cell Therapy
Background: Autism Spectrum Disorder (ASD) presents challenges in early diagnosis and personalized treatment due to the subjectivity of traditional screening methods and the lack of tailored therapeutic approaches. Artificial Intelligence (AI) and Big Data Analytics offer innovative solutions for enhancing diagnostic accuracy and optimizing treatment pathways. Objective: This study explores the application of AI in ASD diagnosis and predictive mo…
Computer Science (3 works) · Analytics (2 works) · Data science (2 works) · Artificial Intelligence (1 works) · Artificial Intelligence in Healthcare (1 works) · Artificial Intelligence in Healthcare and Education (1 works) · Autism (1 works) · Autism Spectrum Disorder Research (1 works) · Big data (1 works) · Biology (1 works)