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Dataset size and composition impact the reliability of performance benchmarks for peptide-MHC binding predictions
(BioMed Central, 2014-07)
BACKGROUND: It is important to accurately determine the performance of peptide:MHC binding predictions, as this enables users to compare and choose between different prediction methods and provides estimates of the expected ...
Using near infrared spectroscopy to predict metabolizable energy of corn for pigs
(Univ Sao Paolo, 2018-11-01)
The chemical composition of corn is variable and the knowledge of its chemical and energetic composition is required for an accurate formulation of the diet. This study aimed to determine the chemical composition, that is, ...
Machine learning-based models for gestational diabetes mellitus prediction before 24–28 weeks of pregnancy: A review
(Elsevier B.V., 2022)
© 2022Gestational Diabetes Mellitus (GDM) is a hyperglycemia state that impairs maternal and offspring health, short and long-term. It is usually diagnosed at 24–28 weeks of pregnancy (WP), but at that time the fetal ...
Validation of the modified shuttle test to predict peak oxygen uptake in youth asthma patients under regular treatment
(Universidade Federal de Minas GeraisBrasilEEF - DEPARTAMENTO DE FISIOTERAPIAUFMG, 2018-07)
Accuracies of genomic prediction of feed efficiency traits using different prediction and validation methods in an experimental Nelore cattle population
(Amer Soc Animal Science, 2016-09-01)
Animal feeding is the most important economic component of beef production systems. Selection for feed efficiency has not been effective mainly due to difficult and high costs to obtain the phenotypes. The application of ...
Development and validation of a risk model for prediction of hazardous alcohol consumption in general practice attendees: the predictal study
(PUBLIC LIBRARY SCIENCE, 2011)
Background: Little is known about the risk of progression to hazardous alcohol use in people currently drinking at safe limits. We aimed to develop a prediction model (predictAL) for the development of hazardous drinking ...
Applicability of spatial prediction models for landslide susceptibility in land-use zoning instruments: a guideline in a coastal settlement in South-Central Chile
(TAYLOR & FRANCIS LTD, 2021)
Landslide hazard is usually incorporated into land-use planning as susceptibility zoning. Multiple-variable models have been widely used for susceptibility zoning due to their advantage to use different performance techniques ...