thyroid: UCI Thyroid Gland Data

In mclust: Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation

UCI Thyroid Gland Data

Description

Data on five laboratory tests administered to a sample of 215 patients. The tests are used to predict whether a patient's thyroid can be classified as euthyroidism (normal thyroid gland function), hypothyroidism (underactive thyroid not producing enough thyroid hormone) or hyperthyroidism (overactive thyroid producing and secreting excessive amounts of the free thyroid hormones T3 and/or thyroxine T4). Diagnosis of thyroid operation was based on a complete medical record, including anamnesis, scan, etc.

Usage

data(thyroid)

Format

A data frame with the following variables:

Diagnosis

Diagnosis of thyroid operation: Hypo, Normal, and Hyper.

RT3U

T3-resin uptake test (percentage).

T4

Total Serum thyroxin as measured by the isotopic displacement method.

T3

Total serum triiodothyronine as measured by radioimmuno assay.

TSH

Basal thyroid-stimulating hormone (TSH) as measured by radioimmuno assay.

DTSH

Maximal absolute difference of TSH value after injection of 200 micro grams of thyrotropin-releasing hormone as compared to the basal value.

Source

One of several databases in the Thyroid Disease Data Set (new-thyroid.data, new-thyroid.names) of the UCI Machine Learning Repository https://archive.ics.uci.edu/ml/datasets/thyroid+disease. Please note the UCI conditions of use.

References

Coomans, D., Broeckaert, M. Jonckheer M. and Massart D.L. (1983) Comparison of Multivariate Discriminant Techniques for Clinical Data - Application to the Thyroid Functional State, Meth. Inform. Med. 22, pp. 93-101.

Coomans, D. and I. Broeckaert (1986) Potential Pattern Recognition in Cemical and Medical Decision Making, Research Studies Press, Letchworth, England.

mclust documentation built on May 29, 2024, 8:06 a.m.