Prediction Models for Decision-Making on Chagas Disease

Prediction Models for Decision-Making on Chagas Disease

DOI: 10.5935/abc.20170059 To investigate the relationship between future or unknown outcomes and baseline health states among people with specific conditions, prediction models are an interesting strategy used to assist diagnosis, prognosis and treatment.1 They estimate the likelihood of clinical events taking into account clinical relevant measures and complementary tests.2 These predictors an...

Prediction Models for Dynamic Decision Making in Smart Grid

The widespread use of smart meters and other sensors in smart grid has resulted in unprecedented amounts of data being generated at high spatial and temporal resolutions. This high volume data is being generated at a high velocity and comes from a variety of sources, and is designated as “big data” by researchers and practitioners in various domains, including the smart grid domain. Predictive ...

The Proposed Mathematical Models For Decision- Making And Forecasting On Euro- Yen In Foreign Exchange Market

Prediction and decision making using Bayesian hierarchical models.

This paper uses Bayesian hierarchical models to analyse multi-centre clinical trial data where the outcome variable of interest is continuous, but not normally distributed, and where censoring has occurred. The goal of such an analysis is the same as for any subgroup analysis, to provide survival estimates for specific subgroups as well as for the population and to provide estimates of the degr...

Prediction for Decision-Making under Uncertainty

A primary use for mathematical models, in fields such as environmental management, economics and engineering, is prediction. Prediction can aid choice between decisions by assessing their consequences, or between models by comparing their prediction performance. Choice between models raises fewer questions of how to use predictions, and this paper concentrates instead on prediction for decision...