Differentiated Thyroid Cancer Recurrence with Clinical and TNM Staging Data

Clinical data from patients diagnosed with thyroid diseases, including demographics, treatment history, and TNM staging. The dataset was created by researchers Borzooei, S., Briganti, G., Golparian, M., Lechien, J. R., & Tarokhian, A. as part of AI and medical research, with no specific funding. The last update date and total number of patient records are unknown.

Use Cases

• Predict disease recurrence based on demographic factors, clinical findings, and TNM staging parameters.
• Analyze the relationship between lifestyle choices like smoking history and treatment response.
• Model patient risk categorization using pathology, focality, and staging data.
• Study the correlation between radiotherapy history and clinical outcomes in thyroid cancer.

Strengths

• Includes a wide range of clinical attributes such as age, gender, smoking history, radiotherapy history, and physical examination findings.
• Contains detailed TNM classification (T, N, M) and staging data for disease progression analysis.
• Records clinical response to treatment and binary recurrence status for outcomes research.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

OpenML, with data attributed to authors from UCI and Hamadan University of Medical Sciences.

Collection Method

Part of research in AI and Medicine; likely collected from clinical records.

Time Range

null

Freshness

Last update date is unknown.

Geography

null