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It is suggested that a practice oriented model able to predict time until cracking, with moisture content and temperature as main factors, would be possible to develop with corrosion models from the field of concrete and the empirical data from the present research as a basis.
Figure 3 summarizes all parameters that directly or indirectly predict time until relapse and time in psychosis in our sample.
A Cox regression survival analysis was performed to figure out measures that may predict time until patients' next relapse.
This study attempted to predict time to relapse in 28 schizophrenic patients withdrawn from neuroleptics and challenged with L-dopa for 7 days, then followed until relapse.
An analysis was performed to assess whether abnormalities on magnetic resonance imaging (MRI) were likely to predict whether electrographic seizure onsets recorded by chronic ambulatory ECoG would be unilateral or bilateral, and whether MRI findings predicted the time until bilateral electrographic seizures were recorded.
Predicting the time until death by clinical scoring.
While existing models consider a variety of concrete material and environmental factors, at varying levels of complexity, in predicting the time until the onset of chloride-induced corrosion of the steel reinforcement, the influence of cracking is generally beyond their current scope.
We conclude that gene expression in PBMC can be used to accurately predict the time until the next acute relapse.
With the patient characteristics analyzed, it was impossible to predict the time until pain or mobility was better than before the operation for different subgroups.
As a FTP we used a multivariate regressor (see Methods) that can predict the time until the next relapse with a resolution of a few days.
It predicts the time until the next relapse only for patients that experience acute relapse during a period of 500 days.
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