HIBA ASRI_ Miscarriage Prediction Risk Factors

Published: 25 May 2021| Version 1 | DOI: 10.17632/5sbmhh6t3r.1
Contributor:
Hiba Asri

Description

The dataset contains real-time risk factors of miscarriage prediction. Those attributes are collected using IoT technologies and present real world data of pregnant womens. We distinguish two types of risk factor's sources: *Data from healthcare sensors *Data from mobiule phones - Healthcare sensors: data are collected from sensors IoT tools like Arduino and raspberry Pi. Features collected are: Age, Heart Rate Variability, Activity Level, Body Temperature, Stress motion, Blood Pressure, Alcohol Consumption, Drunk - Mobile phones: data are collected using mobile phone sensors and the User’s profile of the mobile application. Features collected are: Body Mass Index (BMI), Weight, Height, History of Previous Miscarriage, Location, Biking, Walking, Driving, Sitting.

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Institutions

Universite Ibn Zohr

Categories

Medicine, Health Sciences, Predictive Medicine

Licence