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Predictive modelling of knee osteoporosis [PDF]
Objective The objective of this research was to develop a machine learning-based predictive model for osteoporosis screening using demographic and clinical data, including T-scores derived from calcaneus Quantitative Ultrasound (QUS).
M. Siddharth, Gautam Arora, M. P. Vani
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Clinical prediction models [PDF]
_Dear Editor:_ The number of articles presenting a neurosurgical prediction model is rapidly increasing. Although the number of publications reporting a clinical prediction model in _Child’s Nervous System, Journal of Neurosurgery Pediatrics_, and _Pediatric Neurosurgery_ is relatively constant over the years (Fig.
Mijderwijk, Hendrik-Jan +3 more
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Age is one of the most important risk factors when it comes to stroke risk prediction. However, including age as a risk factor in a stroke prediction model can give rise to a number of difficulties.
Elizabeth Hunter +2 more
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A review of risk concepts and models for predicting the risk of primary stroke
Predicting an individual's risk of primary stroke is an important tool that can help to lower the burden of stroke for both the individual and society.
Elizabeth Hunter +2 more
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Prognostic research focuses on the prediction of the future course of a given disease in probability terms. Prognostication is performed by clinical decision makers by using risk prediction models that allow us to estimate the probability that a specific event occurs in a given patient over a predefined time period conditional on prognostic factors ...
Tripepi G +5 more
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Massively parallel fitting of Gaussian approximation potentials
We present a data-parallel software package for fitting Gaussian approximation potentials (GAPs) on multiple nodes using the ScaLAPACK library with MPI and OpenMP.
Sascha Klawohn +2 more
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We focus on nonlinear flow regime scenarios observed at the global scale of a porous medium and explore the impact of such nonlinearities on key features of dispersive scalar transport observed across three‐dimensional porous systems characterized by ...
Hamid Moghimi +2 more
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Clinical prediction models [PDF]
Clinical prediction models (also known as prognostic models, risk scores) are mathematical equations that relate multiple predictors (risk factors, co-variates) to the probability of having a disease or condition (diagnostic) or the probability that an event will happen in the future (prognostic).
Ranstam, J, Cook, J, Collins, G
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We propose a scheme to construct predictive models for Hamiltonian matrices in atomic orbital representation from ab initio data as a function of atomic and bond environments.
Liwei Zhang +7 more
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Oracle selection provides insight into how far off practice is from Utopia in plant breeding
Since the introduction of genomic selection in plant breeding, high genetic gains have been realized in different plant breeding programs. Various methods based on genomic estimated breeding values (GEBVs) for selecting parental lines that maximize the ...
David Vanavermaete +3 more
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