Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
October 2, 2025Journal of Mathematics Computations and StatisticsOpen Access

Stunting Risk Factor Analysis Using Seemingly Unrelated Regression (SUR) Integrated with Machine Learning

View Full Paper
Ask AI
Bookmark
Share

Authors

WWWiwik WiyantiAZAmanatullah Pandu ZenklinovJSJacob Stevy Seleki

Discussion

Loading...

Member takes

Overview

Seemingly unrelated regression highlights key risk factors of stunting in children, suggesting targeted interventions.

Key Points

  • Stunting is significantly influenced by factors such as nutrition, socio-economics, and maternal history.
  • Animal protein consumption once or twice a week shows an 87.5% probability of reducing stunting risk.
  • Parents' sources of income significantly affect stunting, with over 90% probability linked to employment type.
  • Mother's intake of iron-boosting tablets during pregnancy correlates with an 84% lower stunting probability.

Cite This Study

Wiyanti et al. (2025) studied this question.

synapsesocial.com/papers/68de5d9c83cbc991d0a20456https://doi.org/10.35580/jmathcos.v8i2.9630
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Maternal, Child, and Household Risk Factors for Children with Stunting2024 · 13 citations
  2. 2Risk Factor Analysis of Stunting in Children Aged 6-23 Months in Tanralili District, Maros Regency, Indonesia2024 · 2 citations
  3. 3Identification of factors causing stunting in Lamper Tengah primary healthcare centre, Semarang City2024
  4. 4Determinants of Stunting in Indonesia: Investigating Key Factors Influencing Child Growth2024 · 2 citations
  5. 5Determination Prevalence of Stunting: Logistic Regression Analysis of Maternal and Child Health Factors2026