Influences of Daily Life Habits on Risk Factors of Stroke Based on Decision Tree and Correlation Matrix

Table 1

Subjects’ clinical data.

Type of data	Risk factor of stroke	Field	Data distribution
Clinical diagnosis	Hypertension	Hyte	y: 1242, n: 3782, uncertain: 575
	Dyslipidemia	Dysl	y: 511, n: 4508, uncertain: 580
	Diabetes	Diab	y: 403, n: 4618, uncertain: 578
	Atrial fibrillation	AF	y: 75, n: 4940, uncertain: 584
Medical history and family history	Family history of stroke	FSH	y: 449, n: 4460, uncertain: 690
	History of stroke	SH	y: 165, n: 4730, uncertain: 704
	TIA	TIA	y: 95, n: 4350, uncertain: 1154
Demographic information	Gender	Gen	M: 2491, F: 3108
	Age	Age	Refer to Figure 1
Physical examination	BMI	BMIc	B1: 205, B2: 2926, B3: 1760, B4: 520, B5: 150, uncertain: 38
Daily habits	Smoking	Smok	y: 1192, n: 4379, null: 28
	Alcohol consumption	Alco	y: 1065, n: 4500, null: 34
	Drinking tea	Tea	y: 1563, n: 3997, null: 39
	Diet	DT	C1: 2812, C2: 263, C3: 2181, null: 370
	Sleep	Sleep	TS: 366, TB: 4958, BL: 205, null: 70
	Exercise sport	Sport	C1: 1518, C2: 1624, C3: 2275, null: 182

“y” means “yes,” “n” indicates “no,” and definitions of the types of BMI, diet, sleep, and exercise are presented in Figure 1. In Figure 1, we sometimes use fields to represent their corresponding stroke risk factors.