thyroid: Data set Thyroid Disease (thyroid0387)

In MoTBFs: Learning Hybrid Bayesian Networks using Mixtures of Truncated Basis Functions

Data set Thyroid Disease (thyroid0387)

Description

This data set if one of the several databases about Thyroid avalaible at the UCI repository. The task is to detect is a given patient is normal (1) or suffers from hyperthyroidism (2) or hypothyroidism (3) .

Format

A data frame with 7200 rows, 21 variables and the class.

Details

Age

Age of the patient (0.01–0.97). Continuous variable.

Sex

Sex of the patient, 0 (Male) 1 (Female). Binary variable.

On_thyroxine

0 (FALSE) 1 (TRUE). Binary variable.

Query_on_thyroxine

0 (FALSE) 1 (TRUE). Binary variable.

On_antithyroid_medication

0 (FALSE) 1 (TRUE). Binary variable.

Sick

0 (FALSE) 1 (TRUE). Binary variable.

Pregnant

0 (FALSE) 1 (TRUE). Binary variable.

Thyroid_surgery

0 (FALSE) 1 (TRUE). Binary variable.

I131_treatment

0 (FALSE) 1 (TRUE). Binary variable.

Query_hypothyroid

0 (FALSE) 1 (TRUE). Binary variable.

Query_hyperthyroid

0 (FALSE) 1 (TRUE). Binary variable.

Lithium

0 (FALSE) 1 (TRUE). Binary variable.

Goitre

0 (FALSE) 1 (TRUE). Binary variable.

Tumor

0 (FALSE) 1 (TRUE). Binary variable.

Hypopituitary

0 (FALSE) 1 (TRUE). Binary variable.

Psych

0 (FALSE) 1 (TRUE). Binary variable.

TSH

amount of TSH (0.0–0.53). Continuous variable.

T3

amount of T3 (0.0005–0.18). Continuous variable.

TT4

amount of TT4 (0.002–0.6). Continuous variable.

T4U

amount of T4U (0.017–0.233). Continuous variable.

FTI

amount of FTI (0.002–0.642). Continuous variable.

Class

1 (normal) 2 (hyperthyroidism) 3 (hypothyroidism). Class variable.

Source

http://archive.ics.uci.edu/ml/datasets/Thyroid+Disease

MoTBFs documentation built on April 18, 2022, 5:06 p.m.