Aggregated forecast of severe acute malnutrition.

مواد مشابهة

• Forecast of severe acute malnutrition using IPC SAM scale.
  حسب: Girmaw Abebe Tadesse (11358420)
  منشور في: (2025)
• Our framework for forecasting acute malnutrition rates at the sub-county level in Kenya.
  حسب: Girmaw Abebe Tadesse (11358420)
  منشور في: (2025)
• Analysis of observed malnutrition outcomes.
  حسب: Girmaw Abebe Tadesse (11358420)
  منشور في: (2025)
• Indicators from DHIS2 are found to be able to forecast acute malnutrition. AUC results are presented as meanstd, [95% CI] derived from forecasting acute malnutrition across different forecast horizons using various sets of indicators and ML models. Indicators include PO (previous outcome), CF (clinical features), and S (sub-county indicator), with the “+” sign denoting the concatenation of indicators. The models assessed are WA (Window Average), LR (Logistic Regression), and GB (Gradient Boosting).
  حسب: Girmaw Abebe Tadesse (11358420)
  منشور في: (2025)
• The ML models, Logistic Regression (LR) and Gradient Boosting (GB) models, outperformed Window Average (WA) model across the IPC AMN categories. All models achieved an AUC >0.9 for forecasting extreme malnutrition risk (). The WA model struggled in the lower ranges of the IPC AMN scale, particularly in the [10%, 15%) range, whereas the GB model performed consistently well across the ranges.
  حسب: Girmaw Abebe Tadesse (11358420)
  منشور في: (2025)