Forecast of severe acute malnutrition using IPC SAM scale.

<p>Comparison of AUC results between WA (Window Average) and GB (Gradient Boosting) models using indicators from the previous outcomes (PO), where GB model is consistently the higher performing model than the WA model across the modified 5-point IPC SAM scale.</p> <p>(TIFF)</p&g...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Girmaw Abebe Tadesse (11358420) (author)
مؤلفون آخرون:	Laura Ferguson (95312) (author), Caleb Robinson (8345691) (author), Shiphrah Kuria (12250868) (author), Herbert Wanyonyi (21368420) (author), Samuel Murage (21368423) (author), Samuel Mburu (21368426) (author), Rahul Dodhia (13919428) (author), Juan M. Lavista Ferres (13919431) (author), Bistra Dilkina (8345694) (author)
منشور في:	2025
الموضوعات:	Medicine Neuroscience Biotechnology Computational Biology Information Systems not elsewhere classified window average model window average baselines remotely sensed data remote sensory data makers &# 8217 machine learning models compare several methods authors &# 8217 monitoring malnutrition trends needing clinical data forecast malnutrition risk correctly forecast malnutrition accurately forecast malnutrition recently observed outcomes enhance forecasting capability forecast acute malnutrition collecting clinical indicators month time horizon county malnutrition rates forecasting malnutrition risk county level using xlink "> malnutrition indicators </ p acute malnutrition rate acute malnutrition clinical indicators xlink "> observed indicators forecast values county level key indicators forecasting performance various stages typically less timely interventions time horizons results demonstrate prior months objectives include mainly area logistic regression leading cause known values kenyan ministry kenyan government january 2019 inference time income countries greatest burden gradient boosting
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Forecast of severe acute malnutrition using IPC SAM scale.

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