4 citations · 5 across the 6 of their papers we have counts for
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Deep learning approaches show promise for predicting childhood malnutrition: A comparative study with traditional machine learning methods using survey data
Deepak Bastola, Yang Li
Childhood malnutrition remains a major public health concern in Nepal and other low-resource settings, while conventional case-finding approaches are labor-intensive and frequently…
Predicting Anemia Among Under-Five Children in Nepal Using Machine Learning and Deep Learning
Deepak Bastola, Pitambar Acharya, Dipak Dulal +2
Childhood anemia remains a major public health challenge in Nepal and is associated with impaired growth, cognition, and increased morbidity. Using World Health Organization hemogl…
Estimating Individual Dose-Response Curves under Unobserved Confounders from Observational Data
Shutong Chen, Yang Li
Estimating an individual's potential response to continuously varied treatments is crucial for addressing causal questions across diverse domains, from healthcare to social science…
Distribution-free risk assessment of regression-based machine learning algorithms
Sukrita Singh, Neeraj Sarna, Yuanyuan Li +3
Machine learning algorithms have grown in sophistication over the years and are increasingly deployed for real-life applications. However, when using machine learning techniques in…