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Forecasting

Efficiency of a clinical prediction model for selective rapid testing in children with pharyngitis: A prospective, multicenter study

Jérémie F. Cohen, Robert Cohen, [ ... ], Martin Chalumeau

Predicting floods with Flickr tags

Nataliya Tkachenko, Stephen Jarvis, Rob Procter

Application of portable XRF and VNIR sensors for rapid assessment of soil heavy metal pollution

Bifeng Hu, Songchao Chen, [ ... ], Zhou Shi

Systematic analysis of non-structural protein features for the prediction of PTM function potential by artificial neural networks

Henry M. Dewhurst, Matthew P. Torres

Forecasting outpatient visits using empirical mode decomposition coupled with back-propagation artificial neural networks optimized by particle swarm optimization

Daizheng Huang, Zhihui Wu

The political reference point: How geography shapes political identity

Matthew Feinberg, Alexa M. Tullett, [ ... ], Sara Gottlieb

SoilGrids250m: Global gridded soil information based on machine learning

Tomislav Hengl, Jorge Mendes de Jesus, [ ... ], Bas Kempen

Palpation force modulation strategies to identify hard regions in soft tissue organs

Jelizaveta Konstantinova, Giuseppe Cotugno, [ ... ], Thrishantha Nanayakkara

Stock assessment and end-to-end ecosystem models alter dynamics of fisheries data

Laura S. Storch, Sarah M. Glaser, Hao Ye, Andrew A. Rosenberg

Retinopathy of prematurity: A comprehensive risk analysis for prevention and prediction of disease

Leah A. Owen, Margaux A. Morrison, [ ... ], Margaret M. DeAngelis

Improving medication safety: Development and impact of a multivariate model-based strategy to target high-risk patients

Tri-Long Nguyen, Géraldine Leguelinel-Blache, [ ... ], Paul Landais

SELF-BLM: Prediction of drug-target interactions via self-training SVM

Jongsoo Keum, Hojung Nam

TIMP1 and MMP9 are predictors of mortality in septic patients in the emergency department and intensive care unit unlike MMP9/TIMP1 ratio: Multivariate model

Maria Eugenia Niño, Sergio Eduardo Serrano, [ ... ], Diego Torres-Dueñas

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