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Our work highlights the need for information gathering regarding these parameters, as well as more frequently described measures such as the clinical attack rate, to optimise the predictive capacity of models for use as decision support tools in the event of a pandemic.
Various parameters were examined in order to optimise the predictive ability of the classifier.
This model was designed to optimise the predictive power of the estimates, rather than to precisely reconstruct the observed time series.
To optimise the predictive rule, we tested the effect of varying the number of N input genes from the 10-best through 200-best correlated with oxaliplatin-induced apoptosis (see Materials and Methods).
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Known to be an NP-complete problem [ 5], feature subset selection not only finds a subset of relevant features for the use of a model construction but also looks into the minimal subset that optimises the best predictive model.
Next, it employs continuously updated electrical data in order to optimise the model's predictive ability, with zero-order hold elements enforced on flowrate and composition data until these variables are resampled.
To determine the ideal number of components to calculate and analyse in order to optimise the interpretability and predictive power of any multivariate model, it must be validated.
A simplex-centroid mixture design was applied and the predictive equations were optimised simultaneously resulting in values of 85.89 kJ mol− 1 for ΔH‡, − 32.25 J K− 1 mol− 1 for ΔS‡ and 98.48 kJ mol− 1 K− 1 for ΔG‡ at ratios of 50% rosemary extract, 25% oregano and 25% basil.
Promoting patient awareness and early presentation, identifying the predictive symptoms, allowing flexibility, optimising the use of resources and facilitating the patient journey through the healthcare system may improve the implementation of the cancer TWW guidelines.
A subsequent study by this group used predictive modelling to optimise the insulin dose in patients using insulin pump therapy for the addition of 35 g of fat and 32 g of protein to a meal, finding a mean insulin dose increase of 78 %, using a combination-wave with 30/70 % split over 2.4 h [ 69].
The predictive values of TAAs could provide more parameters to optimise molecular classifiers for HCC outcomes.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com