A research team from the Chinese Academy of Sciences proposed PLSaoNET, a general method that provides neural networks a statistically meaningful ...
Background The widespread mobilisation to improve maternal health over recent decades has led to increased prenatal ...
Background Despite progress in reducing global maternal mortality in recent decades, low- and lower-middle-income countries ...
Abstract: Neural networks (NNs) are efficient tools for rapidly obtaining geoelectric models to solve magnetotelluric (MT) inversion problems. Training an NN with strong predictive power requires ...
Objectives To evaluate knowledge, attitudes and practices towards routine vaccination in the Lebanese population in the post-COVID-19 period, and to examine differences between COVID-19 vaccinated and ...
1 School of Biomedical Sciences, University of Ulster, Coleraine, UK 2 University of Ulster, Coleraine, UK Background There is a paucity of data describing the ...
Correspondence to Dr Natasha Rafter, Department of Geriatric and Stroke Medicine, Royal College of Surgeons in Ireland, Dublin 2, Ireland; natasharafter{at}rcsi.ie Introduction Irish healthcare has ...
Stratified sampling is used to select a sample that is representative of different groups. If the groups are of different sizes, the number of items selected from each group will be proportional to ...
TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...
Learning to read a survey means understanding margins of error, sampling, weighting, and media framing, with an essential ...
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