Tuberculosis Patient Multimodal CT and Clinical Records

Multimodal data from tuberculosis patients includes lung CT imaging and clinical case reports. The dataset contains case keywords, CT image captions, patient_id, gender, and age. It is curated from the original MultiCaRe Dataset to focus on chest tuberculosis.

Use Cases

• Train a multimodal model to correlate CT image captions with clinical case keywords for patient categorization.
• Analyze demographic patterns by examining patient age and gender distributions across the tuberculosis cohort.
• Develop a feature extraction pipeline for CT images using associated clinical metadata like patient_id and case records.

Strengths

• Multimodal structure combines CT imaging data with text-based clinical case records.
• Includes specific patient attributes like gender and age for demographic analysis.
• Derived from the established MultiCaRe Dataset, providing a focused tuberculosis subset.

Limitations

• Unknown sample size and data volume limit assessment of statistical power.
• Lack of column details and sample data obscures the specific features and data structure.
• Potential geographic or demographic bias is unstated due to missing provenance details.

Provenance

Source

Curated from the original MultiCaRe Dataset.

Collection Method

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Time Range

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Freshness

Last updated March 2, 2024.

Geography

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