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Machine learning methods were used to develop predictive models for a classification task, to predict the probability of ICU discharge the day after surgery (further referred to as 'second day of discharge prediction'), and for a regression task, to predict the day of ICU dischargeas a discrete variable (further referred to as 'day of discharge prediction').

Moreover, it is a daunting task to predict this biological condition with any degree of reliability [8].

In this case, it is obviously a tough task to predict the correct redox form automatically only on the basis of heavy atom coordinates.

Six university students participated in a problem-solving task to predict occurrences of landslide hazards from four images representing four combinations of four factors.

Therefore, the determination of flow state which is laminar flow or turbulent flow is an important task to predict the performance of the flow devices.

Since pedestrians are considered to be autonomous, intelligent, and perceptive, it is a challenging task to predict pedestrian movement and behavior in comparison to vehicular flows which follow a specific set of traffic rules.

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Predicting the weather for days ahead is a very different task to predicting an entire season.

Thus, Redick (2016) examined whether working memory measures must be dual-tasks to predict multitasking performance, finding that single-task working memory measures also predict multitasking performance.

This population served as a surrogate to evaluate the capacity of these tests and tasks to predict such deficits.

36 Support Vector Machines (SVM) are supervised machine learning techniques that have been applied to numerous classification tasks to predict the class of an example based on training examples.

Goals were (1) to quantify the relationships among clinical tests of vision, self-reports, and evaluations of actual task performance to predict difficulty in these tasks; and (2) to validate self-report questionnaire data about daily task performance with observations and measurements of actual task performance conducted by a certified low-vision specialist.

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