Chronic Kidney Disease Risk Factors from Bangladeshi Patient Records

Bangladeshi patient data collected from Enam Medical College in Savar, Dhaka. The dataset contains 29 features related to chronic kidney disease and is not pre-processed. It was contributed by authors from Daffodil International University under a license from UCI and the university.

Use Cases

• Predicting chronic kidney disease stage based on clinical measurements like blood pressure and glomerular filtration rate.
• Identifying risk factors for chronic kidney disease progression using features such as albumin, sugar, and blood urea.
• Building classification models to determine disease class from a combination of lab results and patient history.
• Analyzing the relationship between demographic factors like age and clinical outcomes in a specific patient population.

Strengths

• Dataset is explicitly noted to have no missing values.
• Contains 29 distinct clinical and demographic features for analysis.
• Based on real patient data from a specific medical institution.

Limitations

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

Provenance

Source

Enam Medical College, Savar, Dhaka, Bangladesh.

Collection Method

Collected from patient records.

Time Range

unknown

Freshness

unknown

Geography

Bangladesh, specifically Savar, Dhaka.