A Machine Learning Applied Diagnosis Method for Subcutaneous Cyst by Ultrasonography

Table 1

19 features extracted from datasets.

ID	Feature	Type
1	Gender	Categorical
2	Age	Numerical
3	None blood flow	Categorical
4	Dotted blood flow	Categorical
5	Dot-bar blood flow	Categorical
6	Rich blood flow	Categorical
7	None Echo	Categorical
8	Mixed Echo	Categorical
9	Low Echo	Categorical
10	Medium Echo	Categorical
11	High Echo	Categorical
12	Uniform internal Echo	Categorical
13	Nonuniform internal Echo	Categorical
14	Clear boundary	Categorical
15	Unclear boundary	Categorical
16	Regular form	Categorical
17	Irregular form	Categorical
18	Strong spot	Categorical
19	Changes of parenchyma Echo	Categorical