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Electronic health records (EHR) provide opportunities to leverage vast arrays of data to help prevent adverse events, improve patient outcomes, and reduce hospital costs. This paper develops a postoperative complications prediction system by extracting data from the EHR and creating features. The analytic engine then provides model accuracy, calibration, feature ranking, and personalized feature responses...
In terms of the retail commodity sale forecast, people did more in particular aspect with commodity's single sale attribute such as the sale volume, the sale money, the season factor, but all has not considered the most important factor-profit, the profit is the key factor of retail enterprises winning the survival and development. However, such a one-sided analysis is not conducive to assist the...
In this paper, a forecasting method, combining grey model (GM) with partial least squares regression (PLS), was applied to forecasting city terminal energy consumption for the first time. PLS is of the advantage of overcoming the correlative affect among independent variables, distinguishing the system signal from noises, and explaining dependent variables well; GM (1, 1) model is able to overcome...
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