liver: Liver patients

In marcusbuckmann/ffcr: Train two families of transparent classification models: fast-and-frugal trees and tallying

Liver patients

Description

A dataset containing containing 414 liver and 165 non liver patient records. The data was collected in the northeast of Andhra Pradesh, India.

Usage

liver

Format

A data frame with 579 rows and 11 variables:

diagnosis

whether subject is liver patient (414) or not (165), labeled by experts

age

age of patient

sex

either 'female' or 'male'

totalBilirubin

total bilirubin concentration in the blood

directBilirubin

direct bilirubin concentration in the blood

alkaline

alkaline phosphotase concentration

alamine

alamine aminotransferase concentration

aspartate

aspartate aminotransferase concentration

proteins

protein concentration

albumin

albumin concentration

albuminGlobulin

albumin globulin ratio

Source

https://archive.ics.uci.edu/ml/datasets/ILPD+(Indian+Liver+Patient+Dataset)

References

Dua, Dheeru, and Graff, Casey "UCI machine learning repository." (2017)

Ramana, Bendi Venkata, M. Surendra Prasad Babu, and N. B. Venkateswarlu. "A critical study of selected classification algorithms for liver disease diagnosis." International Journal Of Database Management Systems 3.2 (2011): 101-114.

marcusbuckmann/ffcr documentation built on Jan. 4, 2024, 3:45 p.m.