Prediction of undernutrition and identification of its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms
Md. Merajul Islam, Nobab Md. Shoukot Jahan Kibria, Sujit Kumar, Dulal Chandra Roy, Md. Rezaul Karim · 2024
Read Prediction of undernutrition and identification of its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms by Md. Merajul Islam, Nobab Md. Shoukot Jahan Kibria, Sujit Kumar, Dulal Chandra Roy, Md. Rezaul Karim (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11623790.txt.
Description
Thin, short, and light kids under five mark a land's food health, and Bangladesh fights all three at once. Merajul Islam and co-authors build a guess tool for that fight in a 2024 study, from a home survey of the whole land. Guess tools that hide their why can stall trust, so theirs shows its sums' pull.
Four tools ran, and the tree boost tool won each count. Short height was guessed best, thin frame worst. A pull chart names what drives each mark: dad's school, land's wealth, and mum's school and frame weigh most, with birth gaps and home traits in tow. The team says aid crews can aim food aid by the chart, not by gut.
Catalog record
| CREATOR | Md. Merajul Islam, Nobab Md. Shoukot Jahan Kibria, Sujit Kumar, Dulal Chandra Roy, Md. Rezaul Karim |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 39 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |