Maternal Health Risk
About
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.
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.
Subject Area
Health and Medicine
Instances
1,013
Features
6
Data Types
Multivariate
Tasks
Classification
Feature Types
Continuous, Integer
Features
Name | Role | Type | Units | Missing Values | Description |
---|---|---|---|---|---|
Age | Feature | Integer | - | No | |
SystolicBP | Feature | Integer | - | No | |
DiastolicBP | Feature | Integer | - | No | |
BS | Feature | Integer | mmol/L | No | |
BodyTemp | Feature | Integer | F | No | |
HeartRate | Feature | Integer | bpm | No | |
RiskLevel | Target | Categorical | - | No |
Introductory Paper
Review and Analysis of Risk Factor of Maternal Health in Remote Area Using the Internet of Things (IoT)
Marzia Ahmed, M. A. Kashem, Mostafijur Rahman, S. Khatun. 2020.
Lecture Notes in Electrical Engineering, vol 632