child-health

A typescript React library for displaying RCPCH Digital Growth Charts from API data

Predict child malnutrition risk in Chad with machine learning to help health workers act early and target care

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.

Data and R code to reproduce analyses examining socio-economic and environmental determinants of child-health outcomes among African nations

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.

Plot child growth charts against WHO standards

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

Research review on neural epilepsy in children with cerebral palsy, covering prevalence, mechanisms, diagnosis, EEG/MRI findings, treatment, prognosis, and clinical care.

"Born Too Soon? The Educational Costs of Early Elective Deliveries" by Libertad González (Universitat Pompeu Fabra & Barcelona School of Economics) & Parijat Maitra (Stockholm University)

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

PediaCare_AI is an AI-powered paediatrics and child health research platform. Content is compiled from published medical literature, clinical guidelines (AAP, RCPCH, IAP, WHO), and research databases. It enables upload and analysis of reports. This open, collaborative system grows stronger with every user. Share it widely.

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.

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.

Open-source facility-level climate & health vulnerability scoring for schools and clinics, anywhere in the world.