Prediction of Hypertension, Tobacco use, Overweight, Obesity in Rwanda using Hamiltonian Monte Carlo Sampling and Gibbs Sampling Methods.
Enhancing poverty classification in developing countries through machine learning: A case study of household consumption prediction in Rwanda.
Natural language processing to evaluate texting conversations between patients and healthcare providers during COVID-19 Home-Based Care in Rwanda at scale
Analyzing non-revenue water dynamics in Rwanda: leveraging machine learning predictive modeling for comprehensive insights and mitigation strategies
Gaussian process emulation to improve efficiency of computationally intensive multidisease models: a practical tutorial with adaptable R code
