Commit Inicial

This commit is contained in:
2020-11-20 11:23:40 +01:00
commit 5611e5bc01
2914 changed files with 2625178 additions and 0 deletions

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@relation acute-inflammation
@attribute 'f1' real
@attribute 'f2' real
@attribute 'f3' real
@attribute 'f4' real
@attribute 'f5' real
@attribute 'f6' real
@attribute 'clase' {0,1}
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% Rows Columns
2 2
% Matrix elements
0.0 1.0
1.0 0.0

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n_entradas= 6
n_clases= 2
n_arquivos= 1
fich1= acute-inflammation_R.dat
n_patrons1= 120
n_patrons_entrena= 60
n_patrons_valida= 60
n_conxuntos= 1

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@@ -0,0 +1,121 @@
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101 1.19608 -0.562162 0.841625 0.704154 -0.979364 1.17828 0
102 1.25105 1.76402 0.841625 0.704154 1.01256 1.17828 1
103 1.25105 -0.562162 -1.17828 -1.40831 -0.979364 -0.841625 0
104 1.25105 1.76402 0.841625 -1.40831 1.01256 -0.841625 0
105 1.25105 -0.562162 0.841625 0.704154 -0.979364 1.17828 0
106 1.30603 1.76402 0.841625 0.704154 1.01256 1.17828 1
107 1.30603 1.76402 0.841625 0.704154 1.01256 -0.841625 1
108 1.30603 -0.562162 -1.17828 -1.40831 -0.979364 -0.841625 0
109 1.30603 1.76402 0.841625 -1.40831 1.01256 -0.841625 0
110 1.30603 -0.562162 0.841625 0.704154 -0.979364 1.17828 0
111 1.361 1.76402 0.841625 0.704154 1.01256 1.17828 1
112 1.361 -0.562162 -1.17828 -1.40831 -0.979364 -0.841625 0
113 1.361 1.76402 0.841625 -1.40831 1.01256 -0.841625 0
114 1.361 -0.562162 0.841625 0.704154 -0.979364 1.17828 0
115 1.41597 1.76402 0.841625 0.704154 1.01256 -0.841625 1
116 1.47094 -0.562162 0.841625 0.704154 -0.979364 1.17828 0
117 1.52591 -0.562162 -1.17828 -1.40831 -0.979364 -0.841625 0
118 1.52591 1.76402 0.841625 -1.40831 1.01256 -0.841625 0
119 1.52591 -0.562162 0.841625 0.704154 -0.979364 1.17828 0
120 1.52591 -0.562162 0.841625 0.704154 -0.979364 1.17828 0

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@@ -0,0 +1,2 @@
97 68 37 12 103 28 113 34 32 65 63 61 73 2 109 86 5 87 102 66 22 75 69 77 74 108 80 57 118 76 85 79 98 26 46 23 71 21 59 106 13 27 8 31 78 89 84 18 58 48 92 70 51 54 101 1 29 35 55 56
7 50 11 62 60 112 4 107 96 67 117 90 14 116 0 82 15 100 94 40 41 19 111 91 52 95 104 115 64 81 119 93 33 45 49 72 38 25 83 43 9 88 6 17 36 16 42 44 110 99 105 3 114 47 10 24 20 30 39 53

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@@ -0,0 +1,8 @@
87 97 7 115 32 67 107 65 82 40 60 22 11 108 52 111 64 66 0 104 75 41 63 4 96 102 112 73 80 119 76 61 81 113 94 15 2 37 12 90 34 109 50 100 117 27 20 98 39 31 78 17 25 9 56 35 45 47 49 54 83 51 21 101 55 92 93 16 29 46 72 110 44 114 85 36 38 48 43 59 70 99 23 53 58 30 3 24 106 88
28 103 62 116 86 5 14 91 57 19 74 68 69 77 95 118 71 42 105 79 33 10 84 89 6 1 13 18 8 26
2 68 32 66 14 15 67 50 57 118 76 34 116 80 91 22 73 7 65 115 103 97 60 82 81 4 74 40 87 107 113 77 12 96 109 5 41 102 0 111 108 90 62 37 69 33 26 55 13 27 110 56 44 20 24 79 71 45 30 43 8 72 85 88 36 89 17 84 47 38 21 42 16 18 78 53 23 92 93 39 46 70 58 29 31 10 35 83 25 59
11 95 86 61 104 63 117 64 75 28 52 94 19 100 112 119 1 98 51 48 101 105 54 106 49 114 6 9 99 3
62 87 117 100 0 95 11 50 19 67 74 118 34 97 40 22 104 28 37 109 4 76 116 73 5 96 7 82 112 66 86 75 115 111 103 81 80 91 90 113 65 63 102 41 12 13 93 53 9 79 8 38 21 55 23 31 44 3 99 43 101 56 83 45 105 39 18 10 92 25 33 51 26 84 98 1 42 59 27 49 70 29 20 35 72 89 88 114 30 48
77 52 57 94 64 107 61 68 32 2 108 69 15 14 60 119 6 17 24 16 46 78 85 71 110 58 36 54 106 47
19 22 15 62 104 118 109 52 81 50 82 108 69 119 11 95 74 86 87 115 75 102 41 63 64 113 77 66 116 5 61 60 4 12 90 96 103 76 32 57 65 112 2 111 0 17 38 48 24 92 29 49 46 1 3 42 59 84 44 83 101 106 71 30 33 26 31 23 6 114 18 16 56 43 25 72 99 70 58 53 36 51 10 8 47 78 13 89 98 105
40 100 94 73 67 97 7 34 68 80 107 14 28 91 117 37 85 79 45 9 35 93 88 20 55 21 39 110 54 27

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@@ -0,0 +1,120 @@
35.5 no yes no no no no no
35.9 no no yes yes yes yes no
35.9 no yes no no no no no
36.0 no no yes yes yes yes no
36.0 no yes no no no no no
36.0 no yes no no no no no
36.2 no no yes yes yes yes no
36.2 no yes no no no no no
36.3 no no yes yes yes yes no
36.6 no no yes yes yes yes no
36.6 no no yes yes yes yes no
36.6 no yes no no no no no
36.6 no yes no no no no no
36.7 no no yes yes yes yes no
36.7 no yes no no no no no
36.7 no yes no no no no no
36.8 no no yes yes yes yes no
36.8 no no yes yes yes yes no
36.9 no no yes yes yes yes no
36.9 no yes no no no no no
37.0 no no yes yes no yes no
37.0 no no yes yes no yes no
37.0 no yes no no no no no
37.0 no no yes yes yes yes no
37.0 no no yes yes yes yes no
37.0 no no yes yes yes yes no
37.0 no no yes yes yes yes no
37.0 no no yes no no yes no
37.1 no yes no no no no no
37.1 no no yes yes yes yes no
37.1 no no yes no no yes no
37.2 no no yes yes no yes no
37.2 no yes no no no no no
37.2 no no yes no no yes no
37.3 no yes no no no no no
37.3 no no yes yes yes yes no
37.3 no no yes no no yes no
37.4 no yes no no no no no
37.4 no no yes no no yes no
37.5 no no yes yes no yes no
37.5 no yes no no no no no
37.5 no yes no no no no no
37.5 no no yes yes yes yes no
37.5 no no yes no no yes no
37.5 no no yes no no yes no
37.6 no no yes yes no yes no
37.6 no no yes yes no yes no
37.6 no no yes yes yes yes no
37.7 no no yes yes no yes no
37.7 no no yes yes no yes no
37.7 no yes no no no no no
37.7 no no yes no no yes no
37.8 no yes no no no no no
37.8 no no yes yes yes yes no
37.8 no no yes no no yes no
37.9 no no yes yes no yes no
37.9 no no yes yes no yes no
37.9 no yes no no no no no
37.9 no no yes yes yes yes no
37.9 no no yes no no yes no
38.0 no yes yes no yes no yes
38.0 no yes yes no yes no yes
38.1 no yes yes no yes no yes
38.3 no yes yes no yes no yes
38.5 no yes yes no yes no yes
38.7 no yes yes no yes no yes
38.9 no yes yes no yes no yes
39.0 no yes yes no yes no yes
39.4 no yes yes no yes no yes
39.7 no yes yes no yes no yes
40.0 yes yes yes yes yes yes yes
40.0 yes yes yes yes yes yes yes
40.0 yes yes yes yes no yes yes
40.0 no no no no no no no
40.0 no no no no no no no
40.0 yes yes no yes no no yes
40.0 yes yes no yes no no yes
40.0 no yes yes no yes no yes
40.1 yes yes yes yes no yes yes
40.2 yes yes yes yes yes yes yes
40.2 no no no no no no no
40.2 yes yes no yes no no yes
40.3 no yes yes no yes no yes
40.4 yes yes yes yes yes yes yes
40.4 yes yes yes yes no yes yes
40.4 yes yes yes yes no yes yes
40.4 no no no no no no no
40.4 yes yes no yes no no yes
40.5 yes yes yes yes no yes yes
40.6 yes yes yes yes yes yes yes
40.6 no no no no no no no
40.6 yes yes no yes no no yes
40.7 yes yes yes yes yes yes yes
40.7 yes yes yes yes no yes yes
40.7 no no no no no no no
40.7 yes yes no yes no no yes
40.7 no yes yes no yes no yes
40.8 no yes yes no yes no yes
40.9 yes yes yes yes no yes yes
40.9 yes yes yes yes no yes yes
40.9 no yes yes no yes no yes
41.0 yes yes yes yes yes yes yes
41.0 no no no no no no no
41.0 yes yes no yes no no yes
41.0 no yes yes no yes no yes
41.1 yes yes yes yes yes yes yes
41.1 yes yes yes yes no yes yes
41.1 no no no no no no no
41.1 yes yes no yes no no yes
41.1 no yes yes no yes no yes
41.2 yes yes yes yes yes yes yes
41.2 no no no no no no no
41.2 yes yes no yes no no yes
41.2 no yes yes no yes no yes
41.3 yes yes yes yes no yes yes
41.4 no yes yes no yes no yes
41.5 no no no no no no no
41.5 yes yes no yes no no yes
41.5 no yes yes no yes no yes
41.5 no yes yes no yes no yes

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@@ -0,0 +1,109 @@
Title: Acute Inflammations
Abstract: The data was created by a medical expert as a data set to test
the expert system, which will perform the presumptive diagnosis of two
diseases of the urinary system.
----------------------------------------------------------------------------
Data Set Characteristics: Multivariate
Attribute Characteristics: Categorical, Integer
Associated Tasks: Classification
Number of Instances: 120
Number of Attributes: 6
Missing Values? No
Area: Life
Date Donated: 2009-02-11
----------------------------------------------------------------------------
Source:
Jacek Czerniak, Ph.D., Assistant Professor
Systems Research Institute
Polish Academy of Sciences
Laboratory of Intelligent Systems
ul. Newelska 6, Room 218
01-447 Warszawa, Poland
e-mail: jacek.czerniak 'at' ibspan.waw.pl or jczerniak 'at' ukw.edu.pl
----------------------------------------------------------------------------
Data Set Information:
The main idea of this data set is to prepare the algorithm of the expert
system, which will perform the presumptive diagnosis of two diseases of
urinary system. It will be the example of diagnosing of the acute
inflammations of urinary bladder and acute nephritises. For better
understanding of the problem let us consider definitions of both
diseases given by medics. Acute inflammation of urinary bladder is
characterised by sudden occurrence of pains in the abdomen region and
the urination in form of constant urine pushing, micturition pains and
sometimes lack of urine keeping. Temperature of the body is rising,
however most often not above 38C. The excreted urine is turbid and
sometimes bloody. At proper treatment, symptoms decay usually within
several days. However, there is inclination to returns. At persons with
acute inflammation of urinary bladder, we should expect that the illness
will turn into protracted form.
Acute nephritis of renal pelvis origin occurs considerably more often at
women than at men. It begins with sudden fever, which reaches, and
sometimes exceeds 40C. The fever is accompanied by shivers and one- or
both-side lumbar pains, which are sometimes very strong. Symptoms of
acute inflammation of urinary bladder appear very often. Quite not
infrequently there are nausea and vomiting and spread pains of whole
abdomen.
The data was created by a medical expert as a data set to test the
expert system, which will perform the presumptive diagnosis of two
diseases of urinary system. The basis for rules detection was Rough Sets
Theory. Each instance represents an potential patient.
The data is in an ASCII file. Attributes are separated by TAB. Each line
of the data file starts with a digit which tells the temperature of patient.
-- Attribute lines:
For example, '35,9 no no yes yes yes yes no'
Where:
'35,9' Temperature of patient
'no' Occurrence of nausea
'no' Lumbar pain
'yes' Urine pushing (continuous need for urination)
'yes' Micturition pains
'yes' Burning of urethra, itch, swelling of urethra outlet
'yes' decision: Inflammation of urinary bladder
'no' decision: Nephritis of renal pelvis origin
----------------------------------------------------------------------------
Attribute Information:
a1 Temperature of patient { 35C-42C }
a2 Occurrence of nausea { yes, no }
a3 Lumbar pain { yes, no }
a4 Urine pushing (continuous need for urination) { yes, no }
a5 Micturition pains { yes, no }
a6 Burning of urethra, itch, swelling of urethra outlet { yes, no }
d1 decision: Inflammation of urinary bladder { yes, no }
d2 decision: Nephritis of renal pelvis origin { yes, no }
----------------------------------------------------------------------------
Relevant Papers:
J.Czerniak, H.Zarzycki, Application of rough sets in the presumptive
diagnosis of urinary system diseases, Artifical Inteligence and Security
in Computing Systems, ACS'2002 9th International Conference Proceedings,
Kluwer Academic Publishers,2003, pp. 41-51
----------------------------------------------------------------------------
Citation Request:
Please cite:
J.Czerniak, H.Zarzycki, Application of rough sets in the presumptive
diagnosis of urinary system diseases, Artifical Inteligence and Security
in Computing Systems, ACS'2002 9th International Conference Proceedings,
Kluwer Academic Publishers,2003, pp. 41-51

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@@ -0,0 +1,30 @@
% acute
printf('lendo problema acute ...\n');
n_entradas= 6; n_clases= 2; n_fich= 1; fich{1}= 'diagnosis.data'; n_patrons(1)= 120;
x = zeros(1, n_patrons, n_entradas); cl= zeros(1, n_patrons);
f=fopen(fich, 'r');
if -1==f
error('erro en fopen abrindo %s\n', fich);
end
for i=1:n_patrons
fprintf(2,'%5.1f%%\r', 100*i/n_patrons(1));
x(1,i,1) = fscanf(f, '%g', 1);
for j=2:n_entradas
t = fscanf(f,'%s', 1);
if strcmp(t, 'no')
x(1,i,j)=-1;
else
x(1,i,j)=1;
end
end
t = fscanf(f,'%s', 1);
if strcmp(t, 'no')
cl(1,i)=0;
else
cl(1,i)=1;
end
fscanf(f,'%s',1);
end
fclose(f);