Differentiated Thyroid Cancer Recurrence with Clinical and TNM Staging Data

Clinical records of individual patients diagnosed with thyroid conditions, including demographics, clinical findings, and TNM staging. The dataset was created by authors Borzooei, S., Briganti, G., Golparian, M., Lechien, J. R., & Tarokhian, A. as part of research in AI and Medicine, with no funding provided.

Use Cases

• Predict disease recurrence based on demographic factors, clinical findings, and TNM staging.
• Analyze the relationship between lifestyle choices like smoking history and treatment outcomes.
• Model patient risk categorization using pathology, focality, and clinical response data.
• Study the association between thyroid function, physical examination findings, and disease progression.

Strengths

• Includes a wide range of clinical attributes such as age, gender, smoking history, radiotherapy history, and TNM classification.
• Records clinical response to treatment and recurrence status for outcomes analysis.
• Dataset is described as having no missing values.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.
• Column-level documentation beyond the attribute list is absent; field semantics must be fully inferred after download.

Provenance

Source

OpenML, with license from UCI and Hamadan University of Medical Sciences.

Collection Method

Part of research in AI and Medicine; likely a clinical data collection.

Time Range

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Freshness

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Geography

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