Grieven P Otieno
Biographic Data
| ID | 7792251 |
|---|---|
| NAME | Grieven P Otieno |
| GIVEN NAMES | Grieven P |
| FAMILY NAME | Otieno |
| SIGNATURE | OTIENO G P |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Data science and artificial intelligence for maternal, newborn and child health
The limited application of data science and artificial intelligence in MNCH at the national level highlights a significant gap in Africa. Our review found that 28 studies (53.8%) were research projects compared to operational implementations integrated into routine systems to inform policy. Main barriers include inadequate infrastructure, limited data stewardship capacity, and insufficient government commitment. Opportunities exist through Africa…
No prominent works on this page.
Data science and artificial intelligence for maternal, newborn and child health
The limited application of data science and artificial intelligence in MNCH at the national level highlights a significant gap in Africa. Our review found that 28 studies (53.8%) were research projects compared to operational implementations integrated into routine systems to inform policy. Main barriers include inadequate infrastructure, limited data stewardship capacity, and insufficient government commitment. Opportunities exist through Africa…
Big data (1 work) · Biostatistics (1 work) · Data collection (1 work) · Global Maternal and Child Health (1 work) · Government (linguistics (1 work) · Health Informatics (1 work) · ICT in Developing Communities (1 work) · Implementation (1 work) · Mobile Health and mHealth Applications (1 work) · Public health (1 work)