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Maternal Health Indicators from Rural Bangladesh
Patient Health Records & Digital Health
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About
Key health indicators for assessing maternal health risks are provided in this data. The information was gathered from various healthcare facilities, including hospitals and community clinics, in rural areas of Bangladesh using an IoT-based risk monitoring system. The dataset focuses on significant risk factors associated with maternal mortality, which is a key concern for the UN's Sustainable Development Goals (SDG).
Columns
- Age: The age of the individual in years.
- SystolicBP: The systolic blood pressure reading.
- DiastolicBP: The diastolic blood pressure reading.
- BS: The blood sugar level.
- BodyTemp: The body temperature reading.
- HeartRate: The heart rate in beats per minute.
- RiskLevel: The assessed level of maternal health risk, categorised as low, mid, or high risk.
Distribution
The dataset is provided in a single CSV file (
Maternal Health Risk Data Set.csv) with a size of approximately 30.29 kB. It contains 1014 records and 7 columns. The dataset is static and will not be updated.Usage
This dataset is ideal for developing predictive models to identify maternal health risks early. Researchers can use it to analyse the relationships between various physiological factors and risk levels. It is also suitable for healthcare applications aimed at monitoring and improving maternal health outcomes, particularly in rural or resource-limited settings.
Coverage
The data was collected from rural areas of Bangladesh. The specific time range of data collection is not detailed in the sources. The dataset includes individuals aged between 10 and 70 years.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
- Healthcare Researchers: To study the factors contributing to maternal mortality and morbidity.
- Data Scientists: To build machine learning models for risk prediction and classification.
- Public Health Officials: For analysing health trends and planning interventions in rural communities.
- IoT Developers: To test and validate health monitoring systems and algorithms.
Dataset Name Suggestions
- IoT Maternal Health Risk Factors, Bangladesh
- Maternal Health Indicators from Rural Bangladesh
- Predictive Factors for Maternal Health Risk
- Bangladesh Rural Maternal Health Monitoring Data
Attributes
Original Data Source: Maternal Health Indicators from Rural Bangladesh
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