Dataset: Differentiated Thyroid Cancer Recurrence

About this Dataset

Differentiated Thyroid Cancer Recurrence

Overview

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 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

Tables

Thyroid Diff

@kaggle.joebeachcapital_differentiated_thyroid_cancer_recurrence.thyroid_diff

12.73 KB
383 rows
17 columns


CREATE TABLE thyroid_diff (
  "age" BIGINT,
  "gender" VARCHAR,
  "smoking" VARCHAR,
  "hx_smoking" VARCHAR,
  "hx_radiothreapy" VARCHAR,
  "thyroid_function" VARCHAR,
  "physical_examination" VARCHAR,
  "adenopathy" VARCHAR,
  "pathology" VARCHAR,
  "focality" VARCHAR,
  "risk" VARCHAR,
  "t" VARCHAR,
  "n" VARCHAR,
  "m" VARCHAR,
  "stage" VARCHAR,
  "response" VARCHAR,
  "recurred" VARCHAR
);