Published • loading... • Updated
ETHIOPRECISION L2: Simulation and Validation of an AI-Driven School-Age Malnutrition Risk Prediction Pipeline for Digital Surveillance in Ethiopia
Summary by researchsquare.com
1 Articles
1 Articles
ETHIOPRECISION L2: Simulation and Validation of an AI-Driven School-Age Malnutrition Risk Prediction Pipeline for Digital Surveillance in Ethiopia
Background National systematic review established school-age wasting prevalence 22% nationally and 39.3% in Tigray region among Ethiopian children aged 5–14 years, with key risk factors including male sex (OR = 2.06), low family income (OR = 2.16) and...
Coverage Details
Total News Sources1
Leaning Left0Leaning Right0Center0Last UpdatedBias DistributionNo sources with tracked biases.
Bias Distribution
- There is no tracked Bias information for the sources covering this story.
Factuality
To view factuality data please Upgrade to Premium
