Pregnancy Health Risk Assessment Data

Dataset Features

• Patient Demographics:
  • Age: Age of the pregnant woman in years.
• Blood Pressure:
  • SystolicBP: Systolic blood pressure (upper value) in mmHg, a significant health metric during pregnancy.
  • DiastolicBP: Diastolic blood pressure (lower value) in mmHg, an essential indicator of cardiovascular health.
• Blood Metrics:
  • Blood Sugar (BS): Blood glucose level in mmol/L, critical for identifying gestational diabetes risks.
• Heart Health:
  • HeartRate: Resting heart rate in beats per minute, an indicator of cardiovascular condition.
• Risk Assessment:
  • Risk Level: Predicted intensity of health risk during pregnancy, categorized based on the other health attributes.

Usage

• Risk Prediction:
  • Develop machine learning models to predict pregnancy complications based on health metrics.
• Public Health Insights:
  • Analyze patterns in maternal health risks to inform healthcare policies and resource allocation.
• Healthcare Innovation:
  • Leverage IoT-collected data to design improved monitoring tools for maternal health.
• Clinical Decision Support:
  • Support healthcare providers with data-driven insights for better patient care.

License

• License: Other (specified in dataset description).

Who Can Use It

• Researchers: For developing predictive models on maternal health.
• Healthcare Providers: To utilize data for improved decision-making and patient care.
• Public Health Officials: To analyze and address maternal health risks in specific regions.
• IoT Developers: Exploring healthcare innovation and remote monitoring solutions.

Dataset Details

• License: Other (specified in dataset description).
• Collection Method: IoT-based monitoring from hospitals and clinics.