A typescript React library for displaying RCPCH Digital Growth Charts from API data
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Updated
Nov 12, 2024 - TypeScript
A typescript React library for displaying RCPCH Digital Growth Charts from API data
Data and R code to reproduce analyses examining socio-economic and environmental determinants of child-health outcomes among African nations
Sistem Klasifikasi Status Stunting menggunakan Machine Learning untuk mendeteksi status gizi balita berdasarkan BB/U, TB/U, dan BB/TB. Dibangun dengan Python, Flask, dan Scikit-learn.
Plot child growth charts against WHO standards
🧒🏽🍎 Analysis and visualization of food consumption data for Brazilian children aged 2 to 4, as monitored by SISVAN in 2019
SPREADSHEET VISUALIZATION DASHBOARD OF MATERNAL AND CHILD HEALTH IN JEMBER REGENCY, 2021
Australia SA3-level analysis of relationship between child mortality/morbidity and climate conditions/air pollution
Determining the most important predictors of diarrhoea in children under five in South and Southeast Asia by exploring the spatiotemporal association between diarrhoeal incidence and various behavioural, socio-demographic, and environmental factors.
Australia SA3-level analysis of relationship between child mortality/morbidity and climate conditions/air pollution
Análise da prevalência de anomalias congênitas no Brasil e sua potencial associação com fatores socioeconômicos, regionais e gestacionais no período de 2011 a 2020.
Maternal Health Learning Content based on the Africa CDC Knowledge Management platform
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