Risk assessment of pregnancy-induced hypertension using a machine learning approach
S Wanriko, N Hnoohom… - … conference on digital …, 2021 - ieeexplore.ieee.org
This research aimed to develop a predictive model of the risk assessment of pregnancy-
induced hypertension using a machine learning approach. Pregnancy-induced …
induced hypertension using a machine learning approach. Pregnancy-induced …
Analysis of pregnancy risk factors for pregnant women using analysis data based on expert system
E Krisnanik, K Tambunan… - … , Multimedia, Cyber and …, 2019 - ieeexplore.ieee.org
Pregnant women may in a very high risk condition if there are some disorders that occur
during her pregnancy. The causes of this condition are: 1) Do not pay attention to the …
during her pregnancy. The causes of this condition are: 1) Do not pay attention to the …
A review of expert system for identification various risk in pregnancy
GM Damaraji, AE Permanasari… - 2020 3rd International …, 2020 - ieeexplore.ieee.org
The rapid growth of information technology allows us to create new technologies that can be
applied later on to other fields. The thing that is developing is an expert system where this …
applied later on to other fields. The thing that is developing is an expert system where this …
Performance comparison of machine learning algorithms to predict labor complications and birth defects based on stress
V Madhusri, G Kesavkrishna… - 2019 IEEE 10th …, 2019 - ieeexplore.ieee.org
Stress affects physical as well as the mental health of the people and it follows that the stress
is one of the major reasons behind the complications during pregnancy like hypertension …
is one of the major reasons behind the complications during pregnancy like hypertension …
Classification algorithms of maternal risk detection for preeclampsia with hypertension during pregnancy using particle swarm optimization
Preeclampsia is a pregnancy abnormality that develops after 20 weeks of pregnancy
characterized by hypertension and proteinuria. Â The purpose of this research was to predict …
characterized by hypertension and proteinuria. Â The purpose of this research was to predict …
A boosting approach for maternal hypertensive disorder detection
N Mathew - 2018 Second International Conference on Inventive …, 2018 - ieeexplore.ieee.org
Pregnancy is the delicate stage in every woman's life cycle. The changes in the health
during this period may lead to risk in pregnancy. That is a high risk pregnancy is one that …
during this period may lead to risk in pregnancy. That is a high risk pregnancy is one that …
[HTML][HTML] Using machine learning to predict complications in pregnancy: a systematic review
Introduction: Artificial intelligence is widely used in medical field, and machine learning has
been increasingly used in health care, prediction, and diagnosis and as a method of …
been increasingly used in health care, prediction, and diagnosis and as a method of …
A predictive model for hypertension diagnosis using machine learning techniques
MAJ Tengnah, R Sooklall, SD Nagowah - Telemedicine technologies, 2019 - Elsevier
Hypertension, a non-communicable disease, is considered to be one of the biggest
contributors to the global death rate and according to the latest data published in May 2014 …
contributors to the global death rate and according to the latest data published in May 2014 …
Machine learning approach for preterm birth prediction based on maternal chronic conditions
NS Prema, MP Pushpalatha - Emerging Research in Electronics …, 2019 - Springer
A machine learning approach to identify the risk factors of preterm birth (PTB) is presented.
Dataset used for analysis is collected from the local hospitals of Mysuru. For the analysis, the …
Dataset used for analysis is collected from the local hospitals of Mysuru. For the analysis, the …
Predicting hypertensive disorders in high-risk pregnancy using the random forest approach
MWL Moreira, JJPC Rodrigues… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
The incidence of hypertension associated with pregnancy contributes significantly to
increase maternal and fetal deaths during pregnancy and childbirth. Due to its high …
increase maternal and fetal deaths during pregnancy and childbirth. Due to its high …