Differentiated Thyroid Cancer Recurrence

Donated on 10/30/2023

This data set contains 13 clinicopathologic features aiming to predict recurrence of well differentiated thyroid cancer. The data set was collected in duration of 15 years and each patient was followed for at least 10 years.

Dataset Characteristics

Tabular

Subject Area

Health and Medicine

Associated Tasks

Classification

Feature Type

Real, Categorical, Integer

# Instances

383

# Features

16

Dataset Information

For what purpose was the dataset created?

It was a part of research in the field of AI and Medicine

Who funded the creation of the dataset?

No funding was provided.

What do the instances in this dataset represent?

Individual patients

Are there recommended data splits?

No

Does the dataset contain data that might be considered sensitive in any way?

No

Has Missing Values?

No

Introductory Paper

Machine learning for risk stratification of thyroid cancer patients: a 15-year cohort study

By Shiva Borzooei, Giovanni Briganti, Mitra Golparian, Jerome R. Lechien, Aidin Tarokhian. 2023

Published in Head and Neck

Variables Table

Variable NameRoleTypeDemographicDescriptionUnitsMissing Values
AgeFeatureIntegerAgeno
GenderFeatureCategoricalGenderno
SmokingFeatureCategoricalno
Hx SmokingFeatureCategoricalno
Hx RadiothreapyFeatureCategoricalno
Thyroid FunctionFeatureCategoricalno
Physical ExaminationFeatureCategoricalno
AdenopathyFeatureCategoricalno
PathologyFeatureCategoricalno
FocalityFeatureCategoricalno

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Creators

Shiva Borzooei

Aidin Tarokhian

tarokhianaidin@gmail.com

Hamadan University of medical Sciences

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