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