Patient Lifestyle and BMI Dataset
Category: Health License: bigscience-openrail-m Downloads: 549 Rows: 2121 CSV
Dataset card Data preview Source License Citation

Dataset Card

Dataset Description

Patient Lifestyle and BMI Dataset contains structured health-related records designed for research, analytics, dashboard development, and machine learning experiments. The dataset includes realistic patient, clinical, administrative, and observational variables with category-specific value distributions and no repeated column pattern.

Dataset Summary

This dataset provides structured CSV data for analysis, reporting, research, dashboards and machine learning workflows.

Dataset Structure

The file is available in CSV format and can be used with Python, R, Excel, Google Sheets, Power BI or other data analysis tools.

Data Preview

record_id region age_group service_type clinical_score risk_level outcome_status reporting_month
1 Manchester 30-44 Consultation 95.98 High Ongoing 2024-03
2 Cardiff 45-59 Emergency 4.22 Medium Follow-up Required 2019-04
3 London 45-59 Treatment 71.68 Critical Referred 2023-10
4 London 60-74 Consultation 16.59 Critical Discharged 2019-07
5 Manchester 75+ Follow-up 55.54 Medium Discharged 2021-08
6 Cardiff 45-59 Consultation 0.92 Critical Referred 2020-05
7 Manchester 60-74 Treatment 11.36 High Discharged 2023-11
8 Birmingham 45-59 Follow-up 36.89 Low Discharged 2023-03
9 Bristol 18-29 Treatment 33.48 Medium Ongoing 2024-03
10 Leeds 75+ Screening 69.45 Critical Ongoing 2022-02

License

bigscience-openrail-m

Citation

Patient Lifestyle and BMI Dataset. Health Research Data Repository, Version 1.3, 2023.