Overview

Dataset statistics

Number of variables7
Number of observations142
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.0 KiB
Average record size in memory57.9 B

Variable types

Text3
DateTime1
Categorical2
Numeric1

Dataset

Description병원 진료시의 비급여 진료비용(수가) 항목 데이터(수가코드, 적용일자, 종료일자, 수가명, 처방명, 보험금액)
URLhttps://www.data.go.kr/data/3074740/fileData.do

Alerts

종료일자 is highly imbalanced (85.2%)Imbalance
보험금액 has 43 (30.3%) zerosZeros

Reproduction

Analysis started2023-12-12 01:05:56.943504
Analysis finished2023-12-12 01:05:57.835745
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

수가코드
Text

Distinct139
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:58.182195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length4.3309859
Min length3

Characters and Unicode

Total characters615
Distinct characters34
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique136 ?
Unique (%)95.8%

Sample

1st row653003670
2nd rowAB550
3rd rowAB551
4th rowBK4204QL
5th rowBK7000GS
ValueCountFrequency (%)
m596 2
 
1.4%
m531 2
 
1.4%
m76 2
 
1.4%
p646 1
 
0.7%
m617 1
 
0.7%
m619 1
 
0.7%
m620 1
 
0.7%
m621 1
 
0.7%
m622 1
 
0.7%
m623 1
 
0.7%
Other values (129) 129
90.8%
2023-12-12T10:05:58.777543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
M 76
12.4%
0 66
10.7%
6 57
 
9.3%
1 56
 
9.1%
5 48
 
7.8%
3 41
 
6.7%
P 34
 
5.5%
9 32
 
5.2%
8 28
 
4.6%
4 28
 
4.6%
Other values (24) 149
24.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 409
66.5%
Uppercase Letter 200
32.5%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%
Other Letter 2
 
0.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
M 76
38.0%
P 34
17.0%
D 25
 
12.5%
S 23
 
11.5%
L 7
 
3.5%
A 6
 
3.0%
B 5
 
2.5%
E 3
 
1.5%
V 2
 
1.0%
W 2
 
1.0%
Other values (10) 17
 
8.5%
Decimal Number
ValueCountFrequency (%)
0 66
16.1%
6 57
13.9%
1 56
13.7%
5 48
11.7%
3 41
10.0%
9 32
7.8%
8 28
6.8%
4 28
6.8%
2 27
6.6%
7 26
 
6.4%
Other Letter
ValueCountFrequency (%)
나 1
50.0%
가 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 413
67.2%
Latin 200
32.5%
Hangul 2
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
M 76
38.0%
P 34
17.0%
D 25
 
12.5%
S 23
 
11.5%
L 7
 
3.5%
A 6
 
3.0%
B 5
 
2.5%
E 3
 
1.5%
V 2
 
1.0%
W 2
 
1.0%
Other values (10) 17
 
8.5%
Common
ValueCountFrequency (%)
0 66
16.0%
6 57
13.8%
1 56
13.6%
5 48
11.6%
3 41
9.9%
9 32
7.7%
8 28
6.8%
4 28
6.8%
2 27
6.5%
7 26
 
6.3%
Other values (2) 4
 
1.0%
Hangul
ValueCountFrequency (%)
나 1
50.0%
가 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 613
99.7%
Hangul 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
M 76
12.4%
0 66
10.8%
6 57
 
9.3%
1 56
 
9.1%
5 48
 
7.8%
3 41
 
6.7%
P 34
 
5.5%
9 32
 
5.2%
8 28
 
4.6%
4 28
 
4.6%
Other values (22) 147
24.0%
Hangul
ValueCountFrequency (%)
나 1
50.0%
가 1
50.0%

적용일자
Date

Distinct62
Distinct (%)43.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2006-01-01 00:00:00
Maximum2023-08-01 00:00:00
2023-12-12T10:05:58.934876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:05:59.077894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
9999-12-31
139 
2023-07-31
 
3

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9999-12-31
2nd row9999-12-31
3rd row9999-12-31
4th row9999-12-31
5th row9999-12-31

Common Values

ValueCountFrequency (%)
9999-12-31 139
97.9%
2023-07-31 3
 
2.1%

Length

2023-12-12T10:05:59.233667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:05:59.348727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9999-12-31 139
97.9%
2023-07-31 3
 
2.1%

수가명
Text

Distinct139
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T10:05:59.621435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length23
Mean length13.225352
Min length2

Characters and Unicode

Total characters1878
Distinct characters293
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique136 ?
Unique (%)95.8%

Sample

1st row파마프레드니솔론정-비급여
2nd row상급병실료(1인용)
3rd row상급병실료(2인용)
4th rowLMA UNIQUE 전규격(mask)
5th rowPLIO 전규격
ValueCountFrequency (%)
비급여 9
 
3.7%
신청서 4
 
1.7%
연구용 4
 
1.7%
건강보험 3
 
1.2%
급여삭제 3
 
1.2%
성인 3
 
1.2%
집행기능 2
 
0.8%
양압기 2
 
0.8%
의사소견서(노인장기요양 2
 
0.8%
및 2
 
0.8%
Other values (191) 207
85.9%
2023-12-12T10:06:00.095574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103
 
5.5%
) 86
 
4.6%
( 86
 
4.6%
- 54
 
2.9%
서 47
 
2.5%
사 37
 
2.0%
의 36
 
1.9%
정 35
 
1.9%
급 34
 
1.8%
여 32
 
1.7%
Other values (283) 1328
70.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1245
66.3%
Uppercase Letter 138
 
7.3%
Space Separator 103
 
5.5%
Lowercase Letter 93
 
5.0%
Close Punctuation 86
 
4.6%
Open Punctuation 86
 
4.6%
Dash Punctuation 54
 
2.9%
Decimal Number 51
 
2.7%
Other Punctuation 22
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 47
 
3.8%
사 37
 
3.0%
의 36
 
2.9%
정 35
 
2.8%
급 34
 
2.7%
여 32
 
2.6%
단 25
 
2.0%
진 25
 
2.0%
치 25
 
2.0%
비 25
 
2.0%
Other values (225) 924
74.2%
Uppercase Letter
ValueCountFrequency (%)
A 16
11.6%
C 14
10.1%
D 14
10.1%
S 12
 
8.7%
T 12
 
8.7%
M 12
 
8.7%
E 9
 
6.5%
P 7
 
5.1%
R 6
 
4.3%
B 6
 
4.3%
Other values (12) 30
21.7%
Lowercase Letter
ValueCountFrequency (%)
m 16
17.2%
g 11
11.8%
e 9
9.7%
n 8
8.6%
o 7
 
7.5%
i 6
 
6.5%
a 6
 
6.5%
r 5
 
5.4%
d 4
 
4.3%
c 3
 
3.2%
Other values (9) 18
19.4%
Decimal Number
ValueCountFrequency (%)
1 17
33.3%
0 9
17.6%
5 8
15.7%
2 7
13.7%
3 4
 
7.8%
4 2
 
3.9%
6 2
 
3.9%
7 1
 
2.0%
9 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 10
45.5%
. 5
22.7%
/ 4
 
18.2%
: 3
 
13.6%
Space Separator
ValueCountFrequency (%)
103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 86
100.0%
Open Punctuation
ValueCountFrequency (%)
( 86
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1245
66.3%
Common 402
 
21.4%
Latin 231
 
12.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 47
 
3.8%
사 37
 
3.0%
의 36
 
2.9%
정 35
 
2.8%
급 34
 
2.7%
여 32
 
2.6%
단 25
 
2.0%
진 25
 
2.0%
치 25
 
2.0%
비 25
 
2.0%
Other values (225) 924
74.2%
Latin
ValueCountFrequency (%)
m 16
 
6.9%
A 16
 
6.9%
C 14
 
6.1%
D 14
 
6.1%
S 12
 
5.2%
T 12
 
5.2%
M 12
 
5.2%
g 11
 
4.8%
e 9
 
3.9%
E 9
 
3.9%
Other values (31) 106
45.9%
Common
ValueCountFrequency (%)
103
25.6%
) 86
21.4%
( 86
21.4%
- 54
13.4%
1 17
 
4.2%
, 10
 
2.5%
0 9
 
2.2%
5 8
 
2.0%
2 7
 
1.7%
. 5
 
1.2%
Other values (7) 17
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1245
66.3%
ASCII 633
33.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
103
16.3%
) 86
 
13.6%
( 86
 
13.6%
- 54
 
8.5%
1 17
 
2.7%
m 16
 
2.5%
A 16
 
2.5%
C 14
 
2.2%
D 14
 
2.2%
S 12
 
1.9%
Other values (48) 215
34.0%
Hangul
ValueCountFrequency (%)
서 47
 
3.8%
사 37
 
3.0%
의 36
 
2.9%
정 35
 
2.8%
급 34
 
2.7%
여 32
 
2.6%
단 25
 
2.0%
진 25
 
2.0%
치 25
 
2.0%
비 25
 
2.0%
Other values (225) 924
74.2%

처방명(영문)
Text

Distinct139
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T10:06:00.417840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length31
Mean length16.028169
Min length2

Characters and Unicode

Total characters2276
Distinct characters253
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique136 ?
Unique (%)95.8%

Sample

1st row파마프레드니솔론정-비급여
2nd row상급병실료(1인용)
3rd row상급병실료(2인용)
4th rowLMA UNIQUE 전규격(mask)
5th rowPLIO 전규격
ValueCountFrequency (%)
연구용 4
 
1.5%
신청서 4
 
1.5%
oint 3
 
1.1%
성인 3
 
1.1%
건강보험 3
 
1.1%
한국화이자/원외 2
 
0.7%
의사소견서(노인장기요양 2
 
0.7%
의사소견서 2
 
0.7%
enteric 2
 
0.7%
양압기 2
 
0.7%
Other values (221) 242
90.0%
2023-12-12T10:06:01.034133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
 
5.8%
) 77
 
3.4%
( 77
 
3.4%
e 69
 
3.0%
i 66
 
2.9%
a 57
 
2.5%
n 50
 
2.2%
r 49
 
2.2%
서 45
 
2.0%
- 45
 
2.0%
Other values (243) 1610
70.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 995
43.7%
Lowercase Letter 640
28.1%
Uppercase Letter 196
 
8.6%
Space Separator 131
 
5.8%
Decimal Number 81
 
3.6%
Close Punctuation 77
 
3.4%
Open Punctuation 77
 
3.4%
Dash Punctuation 45
 
2.0%
Other Punctuation 34
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 45
 
4.5%
의 36
 
3.6%
사 33
 
3.3%
단 25
 
2.5%
진 25
 
2.5%
치 24
 
2.4%
료 22
 
2.2%
인 22
 
2.2%
급 22
 
2.2%
장 21
 
2.1%
Other values (179) 720
72.4%
Lowercase Letter
ValueCountFrequency (%)
e 69
10.8%
i 66
 
10.3%
a 57
 
8.9%
n 50
 
7.8%
r 49
 
7.7%
m 41
 
6.4%
o 38
 
5.9%
t 37
 
5.8%
l 33
 
5.2%
s 32
 
5.0%
Other values (14) 168
26.2%
Uppercase Letter
ValueCountFrequency (%)
C 21
10.7%
T 18
 
9.2%
S 17
 
8.7%
A 17
 
8.7%
D 16
 
8.2%
M 15
 
7.7%
P 12
 
6.1%
B 12
 
6.1%
E 11
 
5.6%
R 9
 
4.6%
Other values (12) 48
24.5%
Decimal Number
ValueCountFrequency (%)
1 24
29.6%
0 19
23.5%
5 13
16.0%
2 10
12.3%
3 6
 
7.4%
4 4
 
4.9%
6 2
 
2.5%
7 1
 
1.2%
9 1
 
1.2%
8 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 12
35.3%
, 12
35.3%
/ 7
20.6%
: 3
 
8.8%
Space Separator
ValueCountFrequency (%)
131
100.0%
Close Punctuation
ValueCountFrequency (%)
) 77
100.0%
Open Punctuation
ValueCountFrequency (%)
( 77
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 995
43.7%
Latin 836
36.7%
Common 445
19.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 45
 
4.5%
의 36
 
3.6%
사 33
 
3.3%
단 25
 
2.5%
진 25
 
2.5%
치 24
 
2.4%
료 22
 
2.2%
인 22
 
2.2%
급 22
 
2.2%
장 21
 
2.1%
Other values (179) 720
72.4%
Latin
ValueCountFrequency (%)
e 69
 
8.3%
i 66
 
7.9%
a 57
 
6.8%
n 50
 
6.0%
r 49
 
5.9%
m 41
 
4.9%
o 38
 
4.5%
t 37
 
4.4%
l 33
 
3.9%
s 32
 
3.8%
Other values (36) 364
43.5%
Common
ValueCountFrequency (%)
131
29.4%
) 77
17.3%
( 77
17.3%
- 45
 
10.1%
1 24
 
5.4%
0 19
 
4.3%
5 13
 
2.9%
. 12
 
2.7%
, 12
 
2.7%
2 10
 
2.2%
Other values (8) 25
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1281
56.3%
Hangul 995
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
131
 
10.2%
) 77
 
6.0%
( 77
 
6.0%
e 69
 
5.4%
i 66
 
5.2%
a 57
 
4.4%
n 50
 
3.9%
r 49
 
3.8%
- 45
 
3.5%
m 41
 
3.2%
Other values (54) 619
48.3%
Hangul
ValueCountFrequency (%)
서 45
 
4.5%
의 36
 
3.6%
사 33
 
3.3%
단 25
 
2.5%
진 25
 
2.5%
치 24
 
2.4%
료 22
 
2.2%
인 22
 
2.2%
급 22
 
2.2%
장 21
 
2.1%
Other values (179) 720
72.4%

보험금액
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75007.19
Minimum0
Maximum1205000
Zeros43
Zeros (%)30.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T10:06:01.237168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2032.5
Q330000
95-th percentile398412
Maximum1205000
Range1205000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation222680.82
Coefficient of variation (CV)2.9687929
Kurtosis15.748412
Mean75007.19
Median Absolute Deviation (MAD)2032.5
Skewness3.9628473
Sum10651021
Variance4.9586746 × 1010
MonotonicityNot monotonic
2023-12-12T10:06:01.441892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43
30.3%
1000 10
 
7.0%
20000 8
 
5.6%
30000 8
 
5.6%
10000 6
 
4.2%
50000 5
 
3.5%
15000 4
 
2.8%
4000 3
 
2.1%
6000 3
 
2.1%
100000 2
 
1.4%
Other values (44) 50
35.2%
ValueCountFrequency (%)
0 43
30.3%
3 1
 
0.7%
14 1
 
0.7%
16 1
 
0.7%
26 1
 
0.7%
28 1
 
0.7%
34 1
 
0.7%
92 1
 
0.7%
100 2
 
1.4%
111 1
 
0.7%
ValueCountFrequency (%)
1205000 1
0.7%
1200000 2
1.4%
1000000 1
0.7%
815000 1
0.7%
800000 1
0.7%
600000 1
0.7%
400000 1
0.7%
368240 1
0.7%
340000 1
0.7%
300000 2
1.4%

항분류
Categorical

Distinct9
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
비급여
88 
처치 및 수술료
22 
투약료 및 처방전료
11 
정신과정액
 
7
주사료
 
4
Other values (4)
10 

Length

Max length12
Median length3
Mean length4.5985915
Min length3

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row비급여
2nd row비급여
3rd row비급여
4th row처치 및 수술료
5th row처치 및 수술료

Common Values

ValueCountFrequency (%)
비급여 88
62.0%
처치 및 수술료 22
 
15.5%
투약료 및 처방전료 11
 
7.7%
정신과정액 7
 
4.9%
주사료 4
 
2.8%
정신요법료 4
 
2.8%
검사료 3
 
2.1%
영상진단 및 방사선치료 2
 
1.4%
입원료 1
 
0.7%

Length

2023-12-12T10:06:01.982690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:06:02.133182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비급여 88
41.5%
및 35
 
16.5%
처치 22
 
10.4%
수술료 22
 
10.4%
투약료 11
 
5.2%
처방전료 11
 
5.2%
정신과정액 7
 
3.3%
주사료 4
 
1.9%
정신요법료 4
 
1.9%
검사료 3
 
1.4%
Other values (3) 5
 
2.4%

Interactions

2023-12-12T10:05:57.432171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:06:02.262707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
적용일자종료일자보험금액항분류
적용일자1.0000.8740.0000.966
종료일자0.8741.0000.0000.000
보험금액0.0000.0001.0000.223
항분류0.9660.0000.2231.000
2023-12-12T10:06:02.373879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
항분류종료일자
항분류1.0000.000
종료일자0.0001.000
2023-12-12T10:06:02.476751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
보험금액종료일자항분류
보험금액1.0000.0000.109
종료일자0.0001.0000.000
항분류0.1090.0001.000

Missing values

2023-12-12T10:05:57.607140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:05:57.765787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

수가코드적용일자종료일자수가명처방명(영문)보험금액항분류
06530036702016-10-149999-12-31파마프레드니솔론정-비급여파마프레드니솔론정-비급여16비급여
1AB5502012-09-019999-12-31상급병실료(1인용)상급병실료(1인용)50000비급여
2AB5512012-09-019999-12-31상급병실료(2인용)상급병실료(2인용)30000비급여
3BK4204QL2019-05-019999-12-31LMA UNIQUE 전규격(mask)LMA UNIQUE 전규격(mask)60000처치 및 수술료
4BK7000GS2019-05-019999-12-31PLIO 전규격PLIO 전규격30000처치 및 수술료
5D700112023-04-249999-12-31FISH(Proder-Willi-Sysdrome)FISH(Proder-Willi-Sysdrome)368240비급여
6DALTM2021-08-019999-12-31알코타민정-비급여-Fursultiamine 100mg,folic acid 0.5mg-비급여-116비급여
7DMOL2022-03-299999-12-31라게브리오(비급여)molnupiravir 200mg0투약료 및 처방전료
8DPANC2021-08-019999-12-31판크론정 175mg-비급여-Pancreatine 175mg-비급여-111비급여
9DPAXL2022-01-299999-12-31팍스로비드(비급여)Nirmatrelvir 300mg, Ritonavir 100mg0투약료 및 처방전료
수가코드적용일자종료일자수가명처방명(영문)보험금액항분류
132P7082023-03-169999-12-31(연구용) 한국형 성인 ADHD 평가 척도(K-AARS)(연구용) 한국형 성인 ADHD 평가 척도(K-AARS)0비급여
133P7452023-01-019999-12-31인지행동치료(CBT)-집단인지행동치료(CBT)-집단11310정신요법료
134P8452023-01-019999-12-31인지행동치료(CBT)-개인(전공의1,2년차)인지행동치료(CBT)-개인(전공의1,2년차)37690정신요법료
135P9902015-03-179999-12-31MET정성검사MET정성검사6000비급여
136P9912015-03-179999-12-31Thc정성검사Thc정성검사6000비급여
137P9922018-08-069999-12-31MOP 정성검사MOP 정성검사6000비급여
138QEEG2023-02-139999-12-31정량화 뇌파검사(QEEG)정량화 뇌파검사(QEEG)0비급여
139TDCS2023-02-139999-12-31경두개 직류자극술(TDCS)경두개 직류자극술(TDCS)0비급여
140WANV2020-07-159999-12-31비스쿰알붐에프 20mg 주사액Viscumalbum 20mg F27750주사료
141WIFV2020-10-069999-12-31지씨플루 쿼드리밸런트 프리피리드시린지 백신Gcflu Quadrivalent Prefilled Syringe(0.5mg) inj20000주사료