CART^® Classification

This example applies to the Healthcare Module. For more information, go to www.minitab.com/healthcare-module.

Example

In this worksheet, Left without Being Seen is the response. The response event is Yes. Wait Time is a continuous predictor, and Reason is a categorical predictor.

C1-T	C2	C3-T
`Left without Being Seen`	`Wait Time`	`Reason`
No	13	Feeling better
Yes	58	Excessive wait time
No	9	Feeling better
No	11	Other commitments

How-to

From the Healthcare KPIs: Predict Leaving without Being Seen dialog box, select CART® Classification, then click OK.
From the drop-down list, select Binary response.
In Response, enter the column that contains the binary variable indicating whether a patient left without being seen. Binary variables are categorical variables that have two possible levels, such as pass/fail or true/false. The response is also called the Y variable.
In Response event, select the value that represents a patient left without being seen.
In Continuous predictors, enter the continuous variables that may explain or predict whether a patient leaves without being seen. The predictors are also called X variables.
In Categorical predictors, enter the categorical classifications or group assignments, such as facility, that may explain or predict whether a patient leaves without being seen. The predictors are also called X variables.
Click OK.

Tip

For more information about this analysis, click Help in the main dialog box.

CART® Classification

Example

How-to

Tip

CART^® Classification