Introduction Lung-function outcomes among preterm-born children referred for pulmonology care are highly heterogeneous, and ...
Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum value of an equation, called the objective functions, subject to a system of ...
Abstract: This study presents a hybrid framework combining multiple linear regression (MLR), random forest (RF), and association rule mining to address complex forecasting challenges. The methodology ...
Abstract: Evaluating donor heart function during ex situ heart perfusion (ESHP) is crucial for determining transplantation suitability. Cardiac Index (CI) is a key hemodynamic parameter widely used to ...
In this study, we propose an exact method for optimizing a linear function over the efficient set of a multi-objective transportation problem (MOTP). This type of problem arises when a decision maker ...
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