Maternal Health Risk
Donated on 8/14/2023
Data has been collected from different hospitals, community clinics, maternal health cares from the rural areas of Bangladesh through the IoT based risk monitoring system.
Dataset Characteristics
Multivariate
Subject Area
Health and Medicine
Associated Tasks
Classification
Feature Type
Real, Integer
# Instances
1013
# Features
6
Dataset Information
Additional Information
Age, Systolic Blood Pressure as SystolicBP, Diastolic BP as DiastolicBP, Blood Sugar as BS, Body Temperature as BodyTemp, HeartRate and RiskLevel. All these are the responsible and significant risk factors for maternal mortality, that is one of the main concern of SDG of UN.
Has Missing Values?
No
Introductory Paper
By Marzia Ahmed, M. A. Kashem, Mostafijur Rahman, S. Khatun. 2020
Published in Lecture Notes in Electrical Engineering, vol 632
Variables Table
| Variable Name | Role | Type | Demographic | Description | Units | Missing Values |
|---|---|---|---|---|---|---|
| Age | Feature | Integer | Age | Any ages in years when a women during pregnant. | no | |
| SystolicBP | Feature | Integer | Upper value of Blood Pressure in mmHg, another significant attribute during pregnancy. | no | ||
| DiastolicBP | Feature | Integer | Lower value of Blood Pressure in mmHg, another significant attribute during pregnancy. | no | ||
| BS | Feature | Integer | Blood glucose levels is in terms of a molar concentration | mmol/L | no | |
| BodyTemp | Feature | Integer | F | no | ||
| HeartRate | Feature | Integer | A normal resting heart rate | bpm | no | |
| RiskLevel | Target | Categorical | Predicted Risk Intensity Level during pregnancy considering the previous attribute. | no |
0 to 7 of 7
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset maternal_health_risk = fetch_ucirepo(id=863) # data (as pandas dataframes) X = maternal_health_risk.data.features y = maternal_health_risk.data.targets # metadata print(maternal_health_risk.metadata) # variable information print(maternal_health_risk.variables)
Ahmed,Marzia. (2023). Maternal Health Risk. UCI Machine Learning Repository. https://doi.org/10.24432/C5DP5D.
@misc{misc_maternal_health_risk_863,
author = {Ahmed,Marzia},
title = {{Maternal Health Risk}},
year = {2023},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5DP5D}
}Keywords
Creators
Marzia Ahmed
ahmed.marzia32@gmail.com
Daffodil International University
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.