FHS Patient Clinical and Lifestyle Variables After PCA Analysis

Patient clinical and lifestyle variables from the FHS included in an analysis after PCA values were presented as mean (min, max). The dataset is a 9.5 KB XLS file authored by Taegun Kim and last updated on April 17, III.

Use Cases

• Conduct Principal Component Analysis (PCA) based on the described clinical and lifestyle variables.
• Analyze correlations between clinical and lifestyle factors based on the patient variables mentioned.
• Build predictive models for health outcomes using the combined clinical and lifestyle data.
• Study the distribution and summary statistics (mean, min, max) of patient variables post-PCA.

Strengths

• Data is openly licensed under CC-BY-4.0.
• File size is 9.5 KB, indicating a focused and manageable dataset.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, author Taegun Kim.

Collection Method

Patient clinical and lifestyle variables from the FHS included in an analysis after PCA.

Time Range

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Freshness

Last updated 2026-04 17 17:39:42; freshness should be verified.

Geography

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