Sentence examples for modeling of causes from inspiring English sources

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CHERG has undertaken comprehensive disease burden modeling of causes of death in children U5 and has provided sequential annual estimates from 2001 through 2011.

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Proof-of-principle for implementing VA methods, including probabilistic modeling of cause of death, with mobile technology (49) indicates that this is an approach ready to move out of research contexts and into routine usage for monitoring cause-specific mortality.

In this paper, it is shown how a system can be created by using methods of Artificial Intelligence, designated (a) to provide the user with information about the transformations of Mediterranean-type landscapes in an interactive way, (b) to allow the modelling of causes and effects of landscape transformations (such as land degradation) and (c) to forecast future landscape changes.

Science is a discipline that demands accurate measurements of phenomena upon which to build models of cause and effect.

For Barzun, these systematic models of cause and effect run counter to the temper of history, which is intuitive, concrete, beholden to time and evidence: History, like a vast river, propels logs, vegetation, rafts, and debris; it is full of live and dead things, some destined for resurrection; it mingles many waters and holds in solution invisible substances stolen from distant soils.

In general terms, urban planning tools have followed a logic model of cause-effect (e.g. decision and respective impact).

No, Régis argued, the only viable way to understand the God-mind union is on the model of cause to effect, respectively.

Further work is required to elucidate the specific developmental roles of each of these players, which undoubtedly involve complex networks of interactions that defy simple linear models of cause and effect.

The observed correlations may reflect a large number of mediating factors including complex feedback loops that could easily be missed using classical in vitro cell-based models of cause and effect.

BEL enables the development of computable pathway models comprised of cause and effect relationships, as well as construction of knowledgebases of biological relationships suitable for automated reasoning methods such as Reverse Causal Reasoning (RCR, see Materials and Methods below).

Before assessing survival from specific causes of death among those with diabetes, to document the higher mortality associated with diabetes we conducted Cox modelling of the causes of death among those with vs those without diabetes in the SCCS cohort.

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