createAcuteInflammation: Create Acute Inflamations dataset

In jkrijthe/createdatasets: Download and preprocess common benchmark dataset for use in reproduceable simulation studies

Description

Task: Classification of two different diseases: formula(Inflammation~.-Nephritis), formula(Nephritis~.-Inflammation)

Usage

createAcuteInflammation(file = getfilepath("acuteinflammation.rds"),
  write = TRUE, read = TRUE)

Arguments

file	character; path/filename to write data file to
write	logical; should the dataset be written to disk for later use? (default: TRUE)
read	logical; should we try to read the dataset from the specified location first? (default: TRUE)

Details

From UCI: "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. "

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

Value

The dataset as a data.table

References

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

See Also

https://archive.ics.uci.edu/ml/datasets/Acute+Inflammations

jkrijthe/createdatasets documentation built on May 19, 2019, 12:44 p.m.