Indian Liver Patient Dataset for Disease Prediction

ILPD contains clinical and demographic data from patients in India, focusing on liver disease. The dataset is hosted by the UCI Machine Learning Repository, a standard source for benchmark data. Its exact size and collection date are unspecified.

Use Cases

• Predict liver disease status using features like age, gender, and total bilirubin.
• Analyze correlations between direct bilirubin levels and alkaline phosphatase in patients.
• Build classifiers to identify disease presence from albumin and total proteins measurements.
• Study the distribution of alanine aminotransferase and aspartate aminotransferase ratios across patient groups.

Strengths

• Dataset is a recognized benchmark from the UCI repository, facilitating comparison of model performance.
• Focus on Indian patient population provides specific demographic context for liver disease studies.

Limitations

• Unknown row count prevents assessment of statistical power for modeling.
• Lack of column details obscures the specific features and potential data completeness.
• Geographic focus on India may limit generalizability to other populations.

Provenance

Source

UCI Machine Learning Repository

Geography

India