This clean healthcare patient dataset contains structured and standardised information about pati...This clean healthcare patient dataset contains structured and standardised information about pati...
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Lebogang Mohau
• Aug 22
This clean healthcare patient dataset contains structured and standardised information about patients, including demographic, physical, clinical, hospitalisation, insurance, billing, and readmission data. The dataset includes variables such as patient ID, full name, date of birth, gender, height, weight, systolic and diastolic blood pressure, glucose level, cholesterol level, admission and discharge dates, primary diagnosis, insurance provider, billing amount, and readmission status.
The data has been cleaned to improve its quality, consistency, and accuracy. Inconsistent formats have been standardised, invalid or incorrect values have been identified and addressed, and categorical variables such as gender and readmission status have been made consistent. Date and numerical fields have also been formatted appropriately to ensure that the dataset is suitable for analysis.
The cleaned dataset can be used to analyse patient characteristics, health conditions, hospital admissions, billing patterns, and readmission trends. It provides a more reliable and organised dataset for healthcare data analysis and visualisation.
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