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Many prediction models are developed by multivariable logistic regression.
Rudolf E. Kálmán PhD'57 developed the Kalman filter, a mathematical algorithm widely used in many prediction models.
The System aims to increase the prediction accuracy particularly when there are many prediction models to consult.
It should also be noted that many prediction models revealing the relationship between SSD and surface roughness were based on the quasi-static indentation fracture model proposed by Lawn et al. [64].
1 2 3 To differentiate children who have a benign self limiting viral infection from the small proportion with serious bacterial infections, many prediction models have been proposed.
Many prediction models address the collinearity that arises when the number (p) of molecular markers (e.g. single-nucleotide polymorphisms) is larger than the sample size (n).
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In datasets with many missing covariates and distinct patterns, constructing many partial prediction models may be impractical.
Many mortality prediction models exist but have shown deficiencies in model development (data comprehensiveness, validation) and in practicality.
Comparatively, various irradiation forecast models based on ANN perform much better in accuracy than many conventional prediction models.
Comparatively, various irradiation forecast models based on artificial neural networks (ANN) perform much better in accuracy than many conventional prediction models.
Many other prediction models were proposed, however, they are difficult to perform in other facilities.
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