A typescript React library for displaying RCPCH Digital Growth Charts from API data
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Updated
Sep 27, 2026 - TypeScript
A typescript React library for displaying RCPCH Digital Growth Charts from API data
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.
Predict child malnutrition risk in Chad with machine learning to help health workers act early and target care
Data and R code to reproduce analyses examining socio-economic and environmental determinants of child-health outcomes among African nations
营养学 | 儿童青少年生长迟缓食养助手 (Childhood Stunting Dietary Guide) — 基于国家卫健委《儿童青少年生长迟缓食养指南(2023年版)》AI科普对话Skill · 使用WorkBuddy构建
Plot child growth charts against WHO standards
Nata Baby mobile app built with Expo and React Native
CARES — Climate Anticipatory Risk and Early Warning System. Open-source anticipatory intelligence for child health risk prediction in Lesotho.
ML pipeline predicting child malnutrition risk in Chad using DHS 2014 survey data. Gradient Boosting achieved 92% accuracy and 0.979 AUC on 9,826 children. 52.9% of Chadian children under five are malnourished.
🩺 A clinical information system prototype built with Next.js and Tailwind CSS to monitor and analyze the first 1000 Days of Life (HPK) for mothers and infants.
Project examining heterogeneous treatment effects of school-based deworming using double/debiased ML on the ~10-year follow-up data on the Primary School Deworming Project in rural Kenya (Miguel & Kremer, 2004)
Australia SA3-level analysis of relationship between child mortality/morbidity and climate conditions/air pollution
Open-source facility-level climate & health vulnerability scoring for schools and clinics, anywhere in the world.
Kids Disease — free educational child disease encyclopedia for parents & caregivers. 140 pediatric conditions with staged symptoms, home care, vaccine schedule, triage checker, and AAP/CDC-sourced FAQ. Astro static site, hash-based CSP, SEO structured data. Not medical advice.
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
Research review on neural epilepsy in children with cerebral palsy, covering prevalence, mechanisms, diagnosis, EEG/MRI findings, treatment, prognosis, and clinical care.
Reproducible machine-learning project for predicting maternal and child health outcomes using Bangladesh DHS data, with leakage audits, validation, calibration, and equity analysis.
Pediatric growth analyzer using Belarusian centile tables. Calculates SDS, centile corridors, BMI, and detects growth disorders
De medir a actuar: La plataforma inteligente de monitoreo nutricional infantil que acompaña el crecimiento de los niños de 0 a 5 años, combate la anemia y conecta en tiempo real a las familias con su equipo médico.
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