Diagnosing the Stage of Hepatitis C Using Machine Learning

Table 3

Detailed description of dataset.

Sr. no.	Attribute	Value range	Interpretation	Type
1	Age	32–61	Age of patient	Predictive
2	Gender	1–2	Female = 2, male = 1	Predictive
3	BMI	22–35	Weight of patient	Predictive
4	Fever	1–2	Yes = 2, no = 1	Predictive
5	Nausea	1–2	Yes = 2, no = 1	Predictive
6	Headache	1–2	Yes = 2, no = 1	Predictive
7	Fatigue	1–2	Yes = 2, no = 1	Predictive
8	Jaundice	1–2	Yes = 2, no = 1	Predictive
9	Epigastric pain	1–2	Yes = 2, no = 1	Predictive
10	WBC	2991–12101	WBC count	Predictive
11	RBC	3816422–5018451	RBC count	Predictive
12	HGB	10–15	HGB level	Predictive
13	Plat.	9303–226464	Plat. count	Predictive
14	AST	39–128	AST level (1^st week)	Predictive
15	ALT 1	39–128	ALT level (1^st week)	Predictive
16	ALT 4	39–128	ALT level (4^th week)	Predictive
17	RNA 1	11–1201086	RNA count (1^st week)	Predictive
18	RNA 4	5–1201715	RNA count (4^th week)	Predictive
19	Histological staging	1–4	Stage	Class