Muzna Hashmi published a multinomial logistic regression model analyzing factors associated with the double burden of malnutrition on figshare. The dataset is stored in an XLS file of 9.5 KB and was last updated on June 3, 2026. It is licensed under CC-BY-4.0.
Use Cases
- Train predictive models for malnutrition risk based on the described regression factors.
- Analyze the statistical relationship between demographic or socioeconomic variables and malnutrition outcomes.
- Validate or benchmark other nutritional health models using the provided regression framework.
Strengths
- Model is openly licensed under CC-BY-4.0.
- File size is 9.5 KB, indicating a compact and potentially focused dataset.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- figshare
- Freshness
- Last updated 2026-06-03 17:48:29; freshness should be verified.