Overview

Dataset statistics

Number of variables9
Number of observations40
Missing cells46
Missing cells (%)12.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory76.3 B

Variable types

Categorical2
Numeric1
Text4
DateTime2

Dataset

Description한국원자력의학원 특허관리정보(발명의 명칭, 출원국가, 출원번호, 출원일, 등록번호, 등록일)에 관한 자료입니다.
Author한국원자력의학원
URLhttps://www.data.go.kr/data/15092866/fileData.do

Alerts

번호 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 번호High correlation
등록번호 has 23 (57.5%) missing valuesMissing
등록일 has 23 (57.5%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:36:10.548557
Analysis finished2023-12-12 03:36:11.768979
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2021 출원
23 
2021 등록
17 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021 등록
2nd row2021 등록
3rd row2021 등록
4th row2021 등록
5th row2021 등록

Common Values

ValueCountFrequency (%)
2021 출원 23
57.5%
2021 등록 17
42.5%

Length

2023-12-12T12:36:11.844494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:36:11.973964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 40
50.0%
출원 23
28.7%
등록 17
21.2%

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.5
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-12T12:36:12.133771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.95
Q110.75
median20.5
Q330.25
95-th percentile38.05
Maximum40
Range39
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation11.690452
Coefficient of variation (CV)0.57026595
Kurtosis-1.2
Mean20.5
Median Absolute Deviation (MAD)10
Skewness0
Sum820
Variance136.66667
MonotonicityStrictly increasing
2023-12-12T12:36:12.662054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1 1
 
2.5%
22 1
 
2.5%
24 1
 
2.5%
25 1
 
2.5%
26 1
 
2.5%
27 1
 
2.5%
28 1
 
2.5%
29 1
 
2.5%
30 1
 
2.5%
31 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
1 1
2.5%
2 1
2.5%
3 1
2.5%
4 1
2.5%
5 1
2.5%
6 1
2.5%
7 1
2.5%
8 1
2.5%
9 1
2.5%
10 1
2.5%
ValueCountFrequency (%)
40 1
2.5%
39 1
2.5%
38 1
2.5%
37 1
2.5%
36 1
2.5%
35 1
2.5%
34 1
2.5%
33 1
2.5%
32 1
2.5%
31 1
2.5%

발명의 명칭
Text

Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T12:36:13.075572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length203
Median length75
Mean length64.925
Min length14

Characters and Unicode

Total characters2597
Distinct characters232
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

Unique32 ?
Unique (%)80.0%

Sample

1st row방사선 손상 보호 또는 완화, 및 폐섬유화 예방 또는 치료를 위한 약학 조성물(Pharmaceutical composition for radioprotection or mitigation, and prevention or treatment of pulmonary fibrosis)
2nd row방사선 손상 보호 또는 완화, 및 폐섬유화 예방 또는 치료 용도(Use of radioprotection or mitigation, and prevention or treatment of pulmonary fibrosis)
3rd rowPET 영상에 기반한 가상 CT 영상 및 감쇠보정 PET 영상 생성 방법 및 시스템(Method and system for generating virtual CT(Computed Tomography) image and attenuation-corrected PET(Positron Emission Tomography) image based on PET image)
4th row단일 혈액백 X선 조사기
5th row전기장 치료 증진용 약학 조성물 및 이를 이용한 방법(Pharmaceutical Composition for enhancing the electrotherapy of cancer and method using the same)
ValueCountFrequency (%)
및 18
 
3.6%
조성물 17
 
3.4%
방사선 11
 
2.2%
for 10
 
2.0%
and 9
 
1.8%
of 9
 
1.8%
또는 7
 
1.4%
바이오마커 7
 
1.4%
암 6
 
1.2%
유도되는 6
 
1.2%
Other values (235) 396
79.8%
2023-12-12T12:36:13.709806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
465
 
17.9%
o 88
 
3.4%
i 77
 
3.0%
e 71
 
2.7%
r 70
 
2.7%
a 69
 
2.7%
t 65
 
2.5%
n 59
 
2.3%
m 37
 
1.4%
p 37
 
1.4%
Other values (222) 1559
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 980
37.7%
Lowercase Letter 798
30.7%
Space Separator 465
17.9%
Uppercase Letter 294
 
11.3%
Open Punctuation 17
 
0.7%
Close Punctuation 17
 
0.7%
Dash Punctuation 11
 
0.4%
Other Punctuation 8
 
0.3%
Decimal Number 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 34
 
3.5%
용 32
 
3.3%
방 31
 
3.2%
조 28
 
2.9%
유 27
 
2.8%
이 26
 
2.7%
는 25
 
2.6%
선 23
 
2.3%
치 22
 
2.2%
사 21
 
2.1%
Other values (168) 711
72.6%
Lowercase Letter
ValueCountFrequency (%)
o 88
11.0%
i 77
9.6%
e 71
 
8.9%
r 70
 
8.8%
a 69
 
8.6%
t 65
 
8.1%
n 59
 
7.4%
m 37
 
4.6%
p 37
 
4.6%
s 35
 
4.4%
Other values (14) 190
23.8%
Uppercase Letter
ValueCountFrequency (%)
T 33
11.2%
A 31
 
10.5%
E 23
 
7.8%
P 22
 
7.5%
R 21
 
7.1%
I 19
 
6.5%
S 17
 
5.8%
N 17
 
5.8%
O 16
 
5.4%
D 15
 
5.1%
Other values (12) 80
27.2%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
2 3
42.9%
3 1
 
14.3%
Space Separator
ValueCountFrequency (%)
465
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1092
42.0%
Hangul 980
37.7%
Common 525
20.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 34
 
3.5%
용 32
 
3.3%
방 31
 
3.2%
조 28
 
2.9%
유 27
 
2.8%
이 26
 
2.7%
는 25
 
2.6%
선 23
 
2.3%
치 22
 
2.2%
사 21
 
2.1%
Other values (168) 711
72.6%
Latin
ValueCountFrequency (%)
o 88
 
8.1%
i 77
 
7.1%
e 71
 
6.5%
r 70
 
6.4%
a 69
 
6.3%
t 65
 
6.0%
n 59
 
5.4%
m 37
 
3.4%
p 37
 
3.4%
s 35
 
3.2%
Other values (36) 484
44.3%
Common
ValueCountFrequency (%)
465
88.6%
( 17
 
3.2%
) 17
 
3.2%
- 11
 
2.1%
, 8
 
1.5%
1 3
 
0.6%
2 3
 
0.6%
3 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1617
62.3%
Hangul 980
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
465
28.8%
o 88
 
5.4%
i 77
 
4.8%
e 71
 
4.4%
r 70
 
4.3%
a 69
 
4.3%
t 65
 
4.0%
n 59
 
3.6%
m 37
 
2.3%
p 37
 
2.3%
Other values (44) 579
35.8%
Hangul
ValueCountFrequency (%)
성 34
 
3.5%
용 32
 
3.3%
방 31
 
3.2%
조 28
 
2.9%
유 27
 
2.8%
이 26
 
2.7%
는 25
 
2.6%
선 23
 
2.3%
치 22
 
2.2%
사 21
 
2.1%
Other values (168) 711
72.6%

발명자
Text

Distinct20
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T12:36:13.954614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.125
Min length3

Characters and Unicode

Total characters125
Distinct characters41
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)25.0%

Sample

1st row이윤진
2nd row이윤진
3rd row우상근
4th row박승우
5th row김은호
ValueCountFrequency (%)
김진수 7
17.5%
이윤진 5
12.5%
박승우 5
12.5%
오세영 3
 
7.5%
김광석 2
 
5.0%
박지애 2
 
5.0%
우상근 2
 
5.0%
김건아 2
 
5.0%
최상현 2
 
5.0%
임영빈 1
 
2.5%
Other values (9) 9
22.5%
2023-12-12T12:36:14.413537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 15
 
12.0%
진 12
 
9.6%
박 9
 
7.2%
우 7
 
5.6%
수 7
 
5.6%
이 5
 
4.0%
5
 
4.0%
승 5
 
4.0%
윤 5
 
4.0%
영 5
 
4.0%
Other values (31) 50
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 120
96.0%
Space Separator 5
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 15
 
12.5%
진 12
 
10.0%
박 9
 
7.5%
우 7
 
5.8%
수 7
 
5.8%
이 5
 
4.2%
승 5
 
4.2%
윤 5
 
4.2%
영 5
 
4.2%
상 4
 
3.3%
Other values (30) 46
38.3%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 120
96.0%
Common 5
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 15
 
12.5%
진 12
 
10.0%
박 9
 
7.5%
우 7
 
5.8%
수 7
 
5.8%
이 5
 
4.2%
승 5
 
4.2%
윤 5
 
4.2%
영 5
 
4.2%
상 4
 
3.3%
Other values (30) 46
38.3%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 120
96.0%
ASCII 5
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 15
 
12.5%
진 12
 
10.0%
박 9
 
7.5%
우 7
 
5.8%
수 7
 
5.8%
이 5
 
4.2%
승 5
 
4.2%
윤 5
 
4.2%
영 5
 
4.2%
상 4
 
3.3%
Other values (30) 46
38.3%
ASCII
ValueCountFrequency (%)
5
100.0%

출원국가
Categorical

Distinct6
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
대한민국
30 
PCT
4 
유럽
 
2
중국
 
2
미국
 
1

Length

Max length4
Median length4
Mean length3.725
Min length2

Unique

Unique2 ?
Unique (%)5.0%

Sample

1st row대한민국
2nd row대한민국
3rd row대한민국
4th row대한민국
5th row대한민국

Common Values

ValueCountFrequency (%)
대한민국 30
75.0%
PCT 4
 
10.0%
유럽 2
 
5.0%
중국 2
 
5.0%
미국 1
 
2.5%
미국 1
 
2.5%

Length

2023-12-12T12:36:14.655039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:36:14.858469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대한민국 30
75.0%
pct 4
 
10.0%
유럽 2
 
5.0%
중국 2
 
5.0%
미국 2
 
5.0%

출원번호
Text

Distinct29
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T12:36:15.143946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length12.9
Min length10

Characters and Unicode

Total characters516
Distinct characters22
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)62.5%

Sample

1st row1.02017E+12
2nd row1.02017E+12
3rd row1.02018E+12
4th row1.02018E+12
5th row1.02019E+12
ValueCountFrequency (%)
1.02019e+12 7
 
16.7%
1.0202e+12 4
 
9.5%
1.02017e+12 2
 
4.8%
1.02018e+12 2
 
4.8%
2.0198e+12 1
 
2.4%
10-2021-0069335 1
 
2.4%
10-2021-0076070 1
 
2.4%
19900036.5 1
 
2.4%
17/414,295 1
 
2.4%
10-2021-0085233 1
 
2.4%
Other values (21) 21
50.0%
2023-12-12T12:36:15.656679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 113
21.9%
1 95
18.4%
2 87
16.9%
9 29
 
5.6%
- 29
 
5.6%
. 19
 
3.7%
E 17
 
3.3%
+ 17
 
3.3%
5 17
 
3.3%
3 15
 
2.9%
Other values (12) 78
15.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 399
77.3%
Uppercase Letter 37
 
7.2%
Other Punctuation 31
 
6.0%
Dash Punctuation 29
 
5.6%
Math Symbol 17
 
3.3%
Space Separator 3
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 113
28.3%
1 95
23.8%
2 87
21.8%
9 29
 
7.3%
5 17
 
4.3%
3 15
 
3.8%
6 12
 
3.0%
8 12
 
3.0%
4 11
 
2.8%
7 8
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
E 17
45.9%
P 4
 
10.8%
C 4
 
10.8%
T 4
 
10.8%
K 4
 
10.8%
R 4
 
10.8%
Other Punctuation
ValueCountFrequency (%)
. 19
61.3%
/ 10
32.3%
, 2
 
6.5%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Math Symbol
ValueCountFrequency (%)
+ 17
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 479
92.8%
Latin 37
 
7.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 113
23.6%
1 95
19.8%
2 87
18.2%
9 29
 
6.1%
- 29
 
6.1%
. 19
 
4.0%
+ 17
 
3.5%
5 17
 
3.5%
3 15
 
3.1%
6 12
 
2.5%
Other values (6) 46
9.6%
Latin
ValueCountFrequency (%)
E 17
45.9%
P 4
 
10.8%
C 4
 
10.8%
T 4
 
10.8%
K 4
 
10.8%
R 4
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 516
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 113
21.9%
1 95
18.4%
2 87
16.9%
9 29
 
5.6%
- 29
 
5.6%
. 19
 
3.7%
E 17
 
3.3%
+ 17
 
3.3%
5 17
 
3.3%
3 15
 
2.9%
Other values (12) 78
15.1%

출원일
Date

Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2017-12-20 00:00:00
Maximum2021-10-13 00:00:00
2023-12-12T12:36:15.868366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:36:16.113655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

등록번호
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing23
Missing (%)57.5%
Memory size452.0 B
2023-12-12T12:36:16.420088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.823529
Min length10

Characters and Unicode

Total characters184
Distinct characters13
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)100.0%

Sample

1st row1.02019E+12
2nd row1.02213E+12
3rd row1.02284E+12
4th row1.0202E+12
5th row1.02242E+12
ValueCountFrequency (%)
1.02213e+12 1
 
5.9%
10-2212699 1
 
5.9%
1.02285e+12 1
 
5.9%
1.02021e+12 1
 
5.9%
1.02316e+12 1
 
5.9%
1.02261e+12 1
 
5.9%
1.02302e+12 1
 
5.9%
1.02315e+12 1
 
5.9%
1.02019e+12 1
 
5.9%
1.02284e+12 1
 
5.9%
Other values (7) 7
41.2%
2023-12-12T12:36:16.822867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 51
27.7%
1 42
22.8%
0 21
11.4%
. 15
 
8.2%
E 15
 
8.2%
+ 15
 
8.2%
3 7
 
3.8%
8 4
 
2.2%
6 4
 
2.2%
9 3
 
1.6%
Other values (3) 7
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 137
74.5%
Other Punctuation 15
 
8.2%
Uppercase Letter 15
 
8.2%
Math Symbol 15
 
8.2%
Dash Punctuation 2
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 51
37.2%
1 42
30.7%
0 21
15.3%
3 7
 
5.1%
8 4
 
2.9%
6 4
 
2.9%
9 3
 
2.2%
5 3
 
2.2%
4 2
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 15
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 15
100.0%
Math Symbol
ValueCountFrequency (%)
+ 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 169
91.8%
Latin 15
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
2 51
30.2%
1 42
24.9%
0 21
12.4%
. 15
 
8.9%
+ 15
 
8.9%
3 7
 
4.1%
8 4
 
2.4%
6 4
 
2.4%
9 3
 
1.8%
5 3
 
1.8%
Other values (2) 4
 
2.4%
Latin
ValueCountFrequency (%)
E 15
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 184
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 51
27.7%
1 42
22.8%
0 21
11.4%
. 15
 
8.2%
E 15
 
8.2%
+ 15
 
8.2%
3 7
 
3.8%
8 4
 
2.2%
6 4
 
2.2%
9 3
 
1.6%
Other values (3) 7
 
3.8%

등록일
Date

MISSING 

Distinct15
Distinct (%)88.2%
Missing23
Missing (%)57.5%
Memory size452.0 B
Minimum2021-01-28 00:00:00
Maximum2021-10-15 00:00:00
2023-12-12T12:36:16.981542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:36:17.147324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

Interactions

2023-12-12T12:36:11.132888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:36:17.280633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분번호발명의 명칭발명자출원국가출원번호출원일등록번호등록일
구분1.0000.9970.7960.5360.5151.0001.000NaNNaN
번호0.9971.0000.9540.8770.4530.9321.0001.0000.979
발명의 명칭0.7960.9541.0001.0000.0000.0000.9641.0001.000
발명자0.5360.8771.0001.0000.0000.8100.9931.0000.820
출원국가0.5150.4530.0000.0001.0001.0000.983NaNNaN
출원번호1.0000.9320.0000.8101.0001.0000.7001.0000.668
출원일1.0001.0000.9640.9930.9830.7001.0001.0000.954
등록번호NaN1.0001.0001.000NaN1.0001.0001.0001.000
등록일NaN0.9791.0000.820NaN0.6680.9541.0001.000
2023-12-12T12:36:17.433347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분출원국가
구분1.0000.348
출원국가0.3481.000
2023-12-12T12:36:17.598441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분출원국가
번호1.0000.8430.229
구분0.8431.0000.348
출원국가0.2290.3481.000

Missing values

2023-12-12T12:36:11.334223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:36:11.544607image/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.
2023-12-12T12:36:11.710125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

구분번호발명의 명칭발명자출원국가출원번호출원일등록번호등록일
02021 등록1방사선 손상 보호 또는 완화, 및 폐섬유화 예방 또는 치료를 위한 약학 조성물(Pharmaceutical composition for radioprotection or mitigation, and prevention or treatment of pulmonary fibrosis)이윤진대한민국1.02017E+122017-12-201.02019E+122021-09-28
12021 등록2방사선 손상 보호 또는 완화, 및 폐섬유화 예방 또는 치료 용도(Use of radioprotection or mitigation, and prevention or treatment of pulmonary fibrosis)이윤진대한민국1.02017E+122017-12-201.02213E+122021-02-01
22021 등록3PET 영상에 기반한 가상 CT 영상 및 감쇠보정 PET 영상 생성 방법 및 시스템(Method and system for generating virtual CT(Computed Tomography) image and attenuation-corrected PET(Positron Emission Tomography) image based on PET image)우상근대한민국1.02018E+122018-11-161.02284E+122021-07-26
32021 등록4단일 혈액백 X선 조사기박승우대한민국1.02018E+122018-12-191.0202E+122021-06-29
42021 등록5전기장 치료 증진용 약학 조성물 및 이를 이용한 방법(Pharmaceutical Composition for enhancing the electrotherapy of cancer and method using the same)김은호대한민국1.02019E+122019-02-181.02242E+122021-04-13
52021 등록6도파민 D2 수용체 저해제를 유효성분으로 함유하는 아리피프라졸의 방사선 민감화 효과 증진용 조성물(Composition for enhancing radiosensitization effect of aripiprazole comprising D2 dopamine receptor antagonist)임영빈대한민국1.02019E+122019-03-131.02228E+122021-03-09
62021 등록7근접방사선원의 방사선량분포 측정장치 및 그 측정 방법(Apparatus for brachytherapy radiotherapy dosimetry and method of the same)최상현대한민국1.02019E+122019-03-141.02232E+122021-03-22
72021 등록8액화 라듐을 이용한 악티늄 생산 방법오세영대한민국10-2019-00891902019-07-2310-22118122021-01-28
82021 등록9액체 타겟을 이용한 핵종 생산 장치(THE APPARATUS OF PRODUCING NUCLIDE USING FLUID TARGET)오세영대한민국1.02019E+122019-07-251.02233E+122021-03-23
92021 등록10빔 조사 효율이 향상된 파우더형 타겟 및 이를 포함하는 핵종 생산 장치 및 생산방법(Powder type target with improved beam irradiation efficiency, apparatus for producing nuclides comprising the same, and production method)오세영대한민국1.02019E+122019-07-291.02265E+122021-06-08
구분번호발명의 명칭발명자출원국가출원번호출원일등록번호등록일
302021 출원31음파영동 및 관성집중이 통합된 미세 입자 분리용 미세유체 장치안지연대한민국10-2021-00760702021-06-11<NA><NA>
312021 출원32단일 혈액백 X선 조사기박승우유럽19900036.52021-06-14<NA><NA>
322021 출원33단일 혈액백 X선 조사기박승우미국17/414,2952021-06-15<NA><NA>
332021 출원34단일 혈액백 X선 조사기박승우중국2.0198E+122021-06-18<NA><NA>
342021 출원35니솔디핀을 유효성분으로 함유하는 방사선 민감성 증진용 조성물김광석대한민국10-2021-00852322021-06-30<NA><NA>
352021 출원36니솔디핀을 유효성분으로 함유하는 폐섬유화 예방 또는 치료 조성물김광석대한민국10-2021-00852332021-06-30<NA><NA>
362021 출원37방사선 피폭 진단용 바이오마커 조성물 및 이를 이용한 방사선 피폭 진단을 위한 정보를 제공하는 방법김민정대한민국10-2021-00963242021-07-22<NA><NA>
372021 출원38부티르산을 유효성분으로 포함하는 암의 방사선 치료 감수성 향상용 조성물권준혜대한민국10-2021-01349942021-10-12<NA><NA>
382021 출원39미세플라스틱 노출에 의해 유도되는 뇌질환 예후 예측용 바이오마커 조성물 및 이를 이용한 예후 예측방법김진수PCTPCT/KR2021/0139922021-10-12<NA><NA>
392021 출원40로자탄을 유효성분으로 포함하는 항체의 종양 침투력 증진용 조성물 및 이의 용도김진수PCTPCT/KR2021/0143602021-10-13<NA><NA>