Classification and Regression Trees on Aggregate Data Modeling: An Application in Acute Myocardial Infarction

Table 1

Random variables.

(a) Variable			(b) A pathway
𝑌𝑗	Description	Categories 𝒪𝑗	observation
𝑌1	Gender	{Female,Male}	{Female,0.1;Male,0.9}
𝑌2	Angina	{Yes,No}	{No,1.0}
𝑌3	Smoker	{Yes,No}	{Yes,0.9;No,0.1}
𝑌4	Heredity	{Yes,No}	{Yes,0.4;No,0.6}
𝑌5	Prior AMI	{Yes,No}	{No,1.0}
𝑌6	Diabetes	{Yes,No}	{Yes,0.1;No,0.9}
𝑌7	Arterial hypertension	{Yes,No}	{Yes,0.9;No,0.1}
𝑌8	Cholesterol	{Yes,No}	{Yes,0.1;No,0.9}
𝑌9	ST deviation	{Yes,No}	{Yes,0.1;No,0.9}
𝑌10	TIMI score	{0,1,…,14}	{1,0.11;2,0.11;3,0.11;4,0.22;5,0.11;7,0.33}
𝑌11	Expert class	{1,…,8}	{7,0.5;8,0.5}
𝑌^𝑎12	Survived one year	{Yes,No}	{Yes,0.4;No,0.6}

a: Explanatory variable.