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The first model (called model 1) was predictive; it aimed to predict satisfaction after THA and only included preoperative parameters (= predictors) as covariables.
The NPACT exposure prediction model aimed to predict 2-week average concentrations of PM2.5 components at participant addresses by adopting the spatiotemporal modeling framework developed for the MESA Air study.
However, the current knowledge on molecular network structures is incomplete yet, and consequently the strategies aimed to predict essential genes are prone to uncertain predictions.
The two types of prediction models were as follows: (i) D14_ALP model that aimed to predict the ALP activity value measured on 14th day from the preceding morphological features (days 1 14); and (ii) D21_Ca model that aimed to predict the calcium deposition value measured after an additional week of differentiation culture (day 21) from the previous week's morphological features (days 15 21).
For predictions at each gestational age, we included in prediction models only women who had not yet delivered and aimed to predict the development of pre-eclampsia at any stage of pregnancy, any subsequent preterm births, and small for gestational age offspring measured at birth.
We aimed to predict long-term mortality in incident dialysis patients using easily obtainable variables.
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For instance, an organization could use data collected through projects for establishing a calibrated predictive model that aim to predict project effort based on their size and complexity.
Secondary structure prediction of a protein aims to predict solvent accessibility, transmembrane helices, globular regions, and coiled-coil regions.
However, if one aims to predict non-therapeutic targets as well, the prediction rank list should be extended.
Same as our prediction concept, Hoshiba and Aoki (2015) aims to predict ground motion without any hypocentral parameters.
The index aims to predict where the economy is headed in the next three to six months based on 10 economic components, called leading indicators, which include stock prices, building permits and initial claims for unemployment benefits.
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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