Thyroid Disease Data
Patient demographics and blood test results along Thyroid Disease diagnostic
@kaggle.emmanuelfwerr_thyroid_disease_data
Patient demographics and blood test results along Thyroid Disease diagnostic
@kaggle.emmanuelfwerr_thyroid_disease_data
The datasets featured below were created by reconciling thyroid disease datasets provided by the UCI Machine Learning Repository.
The size for the file featured within this Kaggle dataset is shown below — along with a list of attributes, and their description summaries:
thyroidDF.csv
- 9172 observations x 31 attributes The diagnosis consists of a string of letters indicating diagnosed conditions.
A diagnosis "-" indicates no condition requiring comment. A diagnosis of the
form "X|Y" is interpreted as "consistent with X, but more likely Y". The
conditions are divided into groups where each group corresponds to a class of
comments.
Letter Diagnosis
------ ---------
hyperthyroid conditions:
A hyperthyroid
B T3 toxic
C toxic goitre
D secondary toxic
hypothyroid conditions:
E hypothyroid
F primary hypothyroid
G compensated hypothyroid
H secondary hypothyroid
binding protein:
I increased binding protein
J decreased binding protein
general health:
K concurrent non-thyroidal illness
replacement therapy:
L consistent with replacement therapy
M underreplaced
N overreplaced
antithyroid treatment:
O antithyroid drugs
P I131 treatment
Q surgery
miscellaneous:
R discordant assay results
S elevated TBG
T elevated thyroid hormones
Thyroid Data - https://archive.ics.uci.edu/ml/datasets/thyroid+disease
Anyone who has the link will be able to view this.