Thyroid Disease Clinical Data with TNM Staging and Treatment Outcomes

Thyroid_Diff.csv is a clinical dataset from openml containing patient records for thyroid disease. It includes demographic, clinical examination, pathology, TNM staging, treatment response, and recurrence data. The dataset is licensed under Attribution (CC BY).

Use Cases

• Predict disease recurrence based on demographic factors, clinical findings, and TNM staging.
• Analyze relationships between lifestyle choices like smoking history and treatment outcomes.
• Model patient risk categorization using pathology, focality, and staging parameters.
• Study clinical response to treatment based on recorded response and recurrence status.

Strengths

• Includes a wide range of clinical attributes such as demographics, physical examination findings, pathology, and TNM staging.
• Contains outcome variables for treatment response and disease recurrence, enabling longitudinal analysis.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

openml

Collection Method

Clinical data collection relating to thyroid diseases.

Time Range

null

Freshness

Last updated date is unknown.

Geography

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