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2.4.1 Pre-Processing

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The daily life activities of an individual that are mainly considered are screen time, sleep time, physical activity, number of cigarettes smoked, units of alcohol consumed. The measures that are mainly considered are age, gender, height, weight, calorie intake. Thus, there are ten features that are collected from an individual. Then, in the pre-processing step, the number of features is reduced by removing the activities and measures that do not have any direct effect on health status. This is achieved by using the Harris-Benedict Equation [4].

The Harris–Benedict Equation [4] is a method used to estimate an individual’s basal metabolic rate (BMR). It says

For Men BMR = (10 × Weight in kg) + (6.25 × Height in cm) − (5 × Age in years) + 5
For Women BMR = (10 × Weight in kg) + (6.25 × Height in cm) − (5 × Age in years) − 161

As per the Harris–Benedict Equation [4], the calories to be consumed is depending on the BMR value and the physical activity.


Figure 2.1 Architecture of the model.

 Calories to be consumed = BMR * Physical Activity

 Calories Difference = (Calories Consumed) − (Calories to be consumed).

In the proposed method the number of features is reduced to seven. They are age, gender, sleep time, screen time, number of cigarettes, units of alcohol consumed, and calorie intake.

Machine Learning for Healthcare Applications

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