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2.4.4.3 Feature Reduction

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Although the features were collected, some of them might not affect the health status of a person directly. Thus, the collected features need to be transformed into the actual features which affect the health status. Here, the Harris–Benedict equation is used to reduce the features. The Harris–Benedict equation [4] is a method used to estimate an individual’s basal metabolic rate (BMR). It says that the calories to be consumed depends on the BMR value and physical activity.

For example, If the physical activity is sedentary or a little active, then the calories to be consumed is 1.2 ∗ BMR. If the physical activity is lightly active, then the calories to be consumed is 1.375 ∗ BMR. If physical activity is moderate, then the calories to be consumed is 1.55 ∗ BMR. If physical activity is an intense exercise, then the calories to be consumed is 1.725 ∗ BMR. If physical activity is an extra hard exercise, then the calories to be consumed is 1.9 ∗ BMR.

(2.1)

Thus, the total number of inputs is reduced to seven. They are Age, Gender, Number of units smoked, Units of Alcohol Consumed, Screen Time, Sleep Time, Calories Difference.

Machine Learning for Healthcare Applications

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