adolescents

ObMetrics is a Shiny app developed to facilitate the calculation of outcomes related to Metabolic Syndrome in pediatric populations. This repository contains documentation and licensing details for the application, which aims to provide a user-friendly interface for healthcare professionals and researchers.

This is an online repository gathering all codes employed for the analyses presented in the paper (Torres-Martos Á et al. (2024)). The purpose of this repository is to allow researchers to reproduce the Machine Learning pipeline presented in the paper, as well as to adapt provided codes for the analyses of their own datasets.

So you can consult your doubts about sex education without any fear!

Research code for the investigation of the role of sample size in synthetic data generation.

Mental health problems are prevalent among African adolescents, but professional treatment capacity is limited. Shamiri, an efficient lay provider-delivered intervention, has significantly reduced depression and anxiety symptoms in previous randomized controlled trials (RCTs).

Exposure to tobacco content and the risk of initiation of tobacco use among nonsmoking adolescents (13-15 years)? A secondary analysis of the 2018 Global Youth Tobacco Survey conducted in Uganda.

Poster Presented at FLUX 2025

Topic model your social media data with this reusable BERTopic pipeline!

All code relating to the IDEAS projects.

Wingerson, MJ - Dissertation research

Preprocessed ENSANUT 2022–2023 dataset for Mexican adolescents (10–14 yrs) — nutrition, mental health, physical activity & risk factors. Ready for ML projects.

Selected behavioral economics games to showcase at events for children and adolescents

MindLens is an AI-assisted counselor platform that brings together student, parent, and teacher perspectives. It surfaces meaningful differences across six dimensions and traces insights back to their source evidence. Built to support counselor judgment—not diagnose, score risk, or replace human decisions.

Semantic map of important AYA cancer data elements collected for STRONG AYA

Geographic Variation in the Prevalence of Behavioral Disorders among Children and Adolescents in Arkansas

Trends in Behavioral Disorders among Children and Adolescents: Evidence from Arkansas All-Payer Claims Database, 2013-2019

Research code for the modelling of synthetic AYA data.

Federated data insights for every walk of life relying on Datawrapper, GitHub Pages, and Vantage6.