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Acute Inflammations Data Set
Download: Data Folder, Data Set Description

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

Number of Instances:

120

Area:

Life

Attribute Characteristics:

Categorical, Integer

Number of Attributes:

6

Date Donated

2009-02-11

Associated Tasks:

Classification

Missing Values?

No

Number of Web Hits:

102791


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 '@' ibspan.waw.pl or jczerniak '@' 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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