Liver Disorders

Donated on 5/14/1990

BUPA Medical Research Ltd. database donated by Richard S. Forsyth

Dataset Characteristics

Multivariate

Subject Area

Health and Medicine

Associated Tasks

Regression

Feature Type

Categorical, Integer, Real

# Instances

345

# Features

5

Dataset Information

Additional Information

The first 5 variables are all blood tests which are thought to be sensitive to liver disorders that might arise from excessive alcohol consumption. Each line in the dataset constitutes the record of a single male individual. Important note: The 7th field (selector) has been widely misinterpreted in the past as a dependent variable representing presence or absence of a liver disorder. This is incorrect [1]. The 7th field was created by BUPA researchers as a train/test selector. It is not suitable as a dependent variable for classification. The dataset does not contain any variable representing presence or absence of a liver disorder. Researchers who wish to use this dataset as a classification benchmark should follow the method used in experiments by the donor (Forsyth & Rada, 1986, Machine learning: applications in expert systems and information retrieval) and others (e.g. Turney, 1995, Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm), who used the 6th field (drinks), after dichotomising, as a dependent variable for classification. Because of widespread misinterpretation in the past, researchers should take care to state their method clearly.

Has Missing Values?

No

Variables Table

Variable NameRoleTypeDemographicDescriptionUnitsMissing Values
mcvFeatureContinuousmean corpuscular volumeno
alkphosFeatureContinuousalkaline phosphotaseno
sgptFeatureContinuousalanine aminotransferaseno
sgotFeatureContinuousaspartate aminotransferaseno
gammagtFeatureContinuousgamma-glutamyl transpeptidaseno
drinksTargetContinuousnumber of half-pint equivalents of alcoholic beverages drunk per dayno
selectorOtherCategoricalfield created by the BUPA researchers to split the data into train/test setsno

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Additional Variable Information

1. mcv mean corpuscular volume 2. alkphos alkaline phosphotase 3. sgpt alanine aminotransferase 4. sgot aspartate aminotransferase 5. gammagt gamma-glutamyl transpeptidase 6. drinks number of half-pint equivalents of alcoholic beverages drunk per day 7. selector field created by the BUPA researchers to split the data into train/test sets

Baseline Model Performance

Papers Citing this Dataset

Sparse Representation-Based Extreme Learning Machine for Motor Imagery EEG Classification

By Qingshan She, Kang Chen, Yuliang Ma, Thinh Nguyen, Yingchun Zhang. 2018

Published in Computational intelligence and neuroscience.

Learning to Assess from Pair-Wise Comparisons

By Jorge Díez, Juan Coz, Oscar Luaces, Félix Goyache, Jaime Alonso, A. Peña, Antonio Bahamonde. 2002

Published in IBERAMIA.

0 to 2 of 2

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Keywords

clinical medicine

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