We systematically identified surveys, reports, and published studies (n=1769) that included data for height and weight, both through physical measurements and self-reports. We used mixed effects ...

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...

Vector-Symbolic Architectures (VSA, a.k.a. Hyperdimensional Computing) is an emergent computing paradigm that works by combining vectors in a high-dimensional space for representing and processing ...

Neuroblastoma (NB) is a common malignancy in children, and accurate risk stratification and prognostic assessment are essential for personalized treatment. Current tumor assessment methods rely on ...

Chemistry Teaching Laboratory, Department of Chemistry, University of Oxford, Oxford, United Kingdom of Great Britain and Northern Ireland, OX1 3PS ...

Quantification of total cardiovascular risk is essential for individualizing hypertension treatment. This study aimed to develop and validate a novel, machine-learning–derived model to predict ...

Code and details for the manuscript on data-driven stochastic modeling with Langevin regression. The repository should have everything needed to reproduce the results of the systems in the paper and ...