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What exactly such future programs will look like though, remains an exciting predictive problem in a rapidly changing landscape.
Each patient was a unit of observation in the predictive problem: patient data collected prior to the diagnosis date were used to construct the independent variables; survival status in a period following the assessment was the dependent variable.
Approaching a predictive problem without a specific causal hypothesis can be quite effective when many potential predictors are available (increasingly common with electronic health records) and when there are interactions between predictors, which are common in biological and social causative processes.
PEDS forms were analysed for numbers of predictive and non-predictive problems identified.
In this paper, a convexification approach is presented for a class of non-convex optimal/model predictive control problems more specifically applied to building HVAC control problems.
The previous section formulates predictive analysis problems as reachability questions.
In this paper the approach is utilized to design strong model predictive control problems which generate least restrictive controllers.
The authors recently proposed an approach to enforce strong feasibility in move-blocking model predictive control problems.
Second, we formulate predictive analysis problems as questions concerning the reachability of diffusion events, and present a novel "altitude function" method for assessing reachability without simulating system trajectories.
Other modellers struggle to apply physically-based, distributed models within complex, three-dimensional heterogeneous landscapes, inducing equifinality and predictive uncertainty problems.
The utility and benefits of QsarDB have been thoroughly tested by solving everyday QSAR and predictive modeling problems, with examples in the field of predictive toxicology, and can be applied for a wide variety of other endpoints.
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