Maternity Risk Prediction Using IOT Module with Wearable Sensor and Deep Learning Based Feature Extraction and Classification Technique

SH Ahammad, N Yathiraju - Research Journal of Computer …, 2021 - technicaljournals.org
Pregnancy is term used to describe the period of development of a fetus in the uterus of a
woman, which is a period of about 9 calendar months, 40 weeks, or 280 days. Detection of …

Managing voluntary interruption of pregnancy using data mining

A Brandão, E Pereira, F Portela, MF Santos… - Procedia …, 2014 - Elsevier
When a woman aims to terminate an unplanned pregnancy, she must go to a specialized
healthcare unit, such as Júlio Dinis Maternity Hospital. In this unit, the procedures of …

Review and analysis of risk factor of maternal health in remote area using the Internet of Things (IoT)

M Ahmed, MA Kashem, M Rahman… - … : Proceedings of the 5th …, 2020 - Springer
IoT is the greatest ingenious innovation in the modern era, which can exploit also in mission-
critical like the healthcare industry. This paper demonstrates effective monitoring of pregnant …

Health Care Prediction for Various Diseases using Computational Intelligence Approaches: A Review

SK Mishra, A Gupta, A Tomar… - 2023 World Conference …, 2023 - ieeexplore.ieee.org
Today computational intelligence is one of the most intriguing study fields in healthcare that
is rapidly developing. To find new patterns in healthcare associations that are appropriate …

Establishment of a model for predicting preterm birth based on the machine learning algorithm

Y Zhang, S Du, T Hu, S Xu, H Lu, C Xu, J Li… - BMC Pregnancy and …, 2023 - Springer
Background The purpose of this study was to construct a preterm birth prediction model
based on electronic health records and to provide a reference for preterm birth prediction in …

A Machine Learning‐Based Prediction Model for Preterm Birth in Rural India

R Raja, I Mukherjee, BK Sarkar - Journal of Healthcare …, 2021 - Wiley Online Library
Preterm birth (PTB) in a pregnant woman is the most serious issue in the field of
Gynaecology and Obstetrics, especially in rural India. In recent years, various clinical …

Prediction of maternal health risk with traditional machine learning methods

HB Mutlu, F Durmaz, N Yücel, E Cengil, M Yıldırım - Naturengs, 2023 - dergipark.org.tr
In risky pregnancy, various diseases such as heart, lung, kidney, high blood pressure,
diabetes and liver that pregnant women have before may aggravate the expectant mother's …

Fetal health classification from cardiotocographic data using machine learning

A Mehbodniya, AJP Lazar, J Webber… - Expert …, 2022 - Wiley Online Library
Health complications during the gestation period have evolved as a global issue. These
complications sometimes result in the mortality of the fetus, which is more prevalent in …

Machine learning based diabetes prediction using decision tree J48

AM Posonia, S Vigneshwari… - 2020 3rd International …, 2020 - ieeexplore.ieee.org
Gestational diabetes is found among majority of the Indian pregnant women, when un-
attended may give birth defects to child. Diabetes, which is caused by the rise in level of …

Contribution of artificial intelligence in pregnancy: a scoping review

I Abuelezz, A Hassan, BA Jaber… - … and Technology in …, 2022 - ebooks.iospress.nl
For the past ten years, the healthcare sector and industry has witnessed a surge in Artificial
Intelligence (AI) technologies being used in many different medical specialties. Recently, AI …