Uvathe/wellborn-maternal-health-risk
WellBorn – Maternal Health Risk Dataset Overview This repository contains a maternal health risk dataset used for research and prototype development for the WellBorn Digital Maternal Health Platform. The dataset contains maternal health measurements and a corresponding risk-level classification. Dataset Features The original dataset contains the following variables: Feature Description Age Age of the pregnant woman in years SystolicBP… See the full description on the dataset page: https://huggingface.co/datasets/Uvathe/wellborn-maternal-health-risk.
pretty_name: WellBorn Maternal Health Risk Dataset tags:
- maternal-health
- pregnancy
- risk-prediction
- blood-pressure
- blood-glucose
- heart-rate
- healthcare
- public-health
- regression
- classification
- tabular license: other source_datasets:
- original task_categories:
- tabular-classification ---
WellBorn – Maternal Health Risk Dataset
Overview
This repository contains a maternal health risk dataset used for research and prototype development for the WellBorn Digital Maternal Health Platform.
The dataset contains maternal health measurements and a corresponding risk-level classification.
Dataset Features
The original dataset contains the following variables:
Original Source
Title:
Maternal Health Risk Data
Source:
Kaggle
Original Dataset:
https://www.kaggle.com/datasets/csafrit2/maternal-health-risk-data
Dataset Context
According to the original dataset description, the data was collected from hospitals, community clinics and maternal healthcare settings through an IoT-based risk monitoring system.
The dataset was created to investigate maternal health risk indicators and risk-level prediction.
Relevance to WellBorn
This dataset is relevant to the WellBorn platform for research and prototype development involving:
- Maternal health monitoring
- Vital-sign analysis
- Risk-level classification
- Blood-pressure monitoring
- Heart-rate monitoring
- Blood-glucose indicators
- IoT-based healthcare systems
- Maternal risk prediction research
The dataset can be used as a baseline dataset for experimenting with maternal risk classification.
Intended Use
This dataset is intended for:
- Research
- Education
- Machine learning experimentation
- Data analysis
- Prototype development
- Healthcare technology research
Model outputs generated using this dataset must not be interpreted as medical diagnoses or clinical recommendations.
License
The original Kaggle dataset is currently listed as:
Other (specified in description)
Kaggle does not identify a standard open-source license such as MIT, Apache-2.0 or a Creative Commons license for this dataset.
Original dataset:
https://www.kaggle.com/datasets/csafrit2/maternal-health-risk-data
Users should review the original Kaggle dataset description and associated terms before redistributing or using the dataset.
This repository does not claim ownership of the original dataset.
Acknowledgements
The original Kaggle dataset references research on maternal health risk factors and IoT-based maternal healthcare systems.
Referenced research includes:
Ahmed, M., Kashem, M. A., Rahman, M., & Khatun, S. (2020).
Review and Analysis of Risk Factor of Maternal Health in Remote Area Using the Internet of Things (IoT).
InECCE 2019, Lecture Notes in Electrical Engineering, Volume 632.
Citation
Maternal Health Risk Data.
Kaggle dataset by csafrit2.
https://www.kaggle.com/datasets/csafrit2/maternal-health-risk-data
Disclaimer
This dataset is provided for research and educational purposes only.
It must not be used for clinical diagnosis, medical treatment, individual medical risk assessment, or automated healthcare decision-making.