Dark Mode
Patient Outcomes Thyroid Cancer Dataset
Patient Health Records & Digital Health
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset focuses on predicting the recurrence of well-differentiated thyroid cancer. It includes patient demographics, blood test results, and thyroid disease diagnostic information. The data was collected over a 15-year period, with each patient followed for at least 10 years, providing valuable context for understanding long-term disease outcomes.
Columns
- Age: The patient's age at diagnosis or treatment.
- Gender: Patient's gender (male or female).
- Smoking: Indicates whether the patient is a smoker.
- Hx Smoking: Patient's smoking history.
- Hx Radiotherapy: History of radiotherapy treatment.
- Thyroid Function: Status of thyroid function, potentially indicating abnormalities.
- Physical Examination: Findings from physical examination, including thyroid gland palpation.
- Adenopathy: Presence or absence of enlarged lymph nodes in the neck.
- Pathology: Specific types of thyroid cancer as determined by biopsy.
- Focality: Whether the cancer is unifocal or multifocal.
- Risk: Cancer risk category based on factors like tumour size and spread.
- T: Tumour classification based on size and invasion extent.
- N: Nodal classification indicating lymph node involvement.
- M: Metastasis classification indicating distant metastases.
- Stage: Overall cancer stage (TNM classifications combined).
- Response: Patient's response to treatment (positive, negative, or stable).
- Recurred: Indicates if the cancer has recurred after initial treatment.
Distribution
The dataset is provided as a CSV file, named
Thyroid_Diff.csv, with a size of 43.59 kB. It contains 17 columns and 383 records.Usage
This dataset is ideal for developing predictive models for thyroid cancer recurrence. It can be used for:
- Building machine learning models to predict recurrence risk.
- Conducting clinical research on prognostic factors for thyroid cancer.
- Analysing patient outcomes post-treatment.
- Risk stratification and patient management.
Coverage
The dataset spans a 15-year collection period, with individual patients followed for a minimum of 10 years.
- Demographic Scope: Includes patient age (ranging from 15 to 82 years, with a mean of 40.9), gender (81% female, 19% male), and smoking status (13% smokers).
- Geographic Scope: Not specified in the provided information.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
- Medical Researchers: To study thyroid cancer recurrence patterns and identify risk factors.
- Data Scientists/Machine Learning Engineers: For developing and testing predictive analytics models in healthcare.
- Healthcare Professionals: To inform clinical decision-making and patient counselling regarding recurrence risk.
- Academic Institutions: For educational purposes and research projects in biomedical informatics.
Dataset Name Suggestions
- Thyroid Cancer Recurrence Prediction Data
- Well-Differentiated Thyroid Cancer Prognosis
- Thyroid Disease Recurrence Clinical Data
- Patient Outcomes Thyroid Cancer Dataset
Attributes
Original Data Source:Patient Outcomes Thyroid Cancer Dataset
QUALITY