An Hybrid Approach for Prediction Based Health Monitoring in Pregnant Women. (2016)

• Record Type: Journal Article
• Authors: Lakshmi, B.N.; Indumathi, T.S.; Ravi, Nandini
• Is Part Of: Procedia technology. Volume 24(2016)
• Page Start: 1635
• Page End: 1642
• Publication Date: 2016
• Subjects: pregnancy -- complications -- physiological parameters -- risks -- predictions -- self-health care -- health monitoring -- hybrid approach -- standardization -- transformation -- rule-extraction -- rule-set.; Technology -- Congresses; Technology -- Periodicals; Engineering -- Congresses; Engineering -- Periodicals; Engineering; Technology; Conference proceedings; Periodicals; 605
• DOI: 10.1016/j.protcy.2016.05.171
• Languages: English
• ISSNs: 2212-0173

Abstract

Abstract: Pregnancy is a delicate stage requiring utmost care and medical attention towards health, as several abnormalities are induced in pregnant women health throughout this period. Health monitoring during pregnancy period can control, manage maintain and prevent abnormalities induced in physiological parameters, which may otherwise lead to severe complications leading to maternal and fetal mortality if un-noticed. The present research aims at catering health monitoring to women during pregnancy period to protect them from possible future complication in health. The proposed hybrid approach bestows risk predictions based on values of a set of physiological parameters obtained from pregnant women thus providing them with an opportunity to control, manage, maintain and prevent probable severe health complications thus catering pregnant women with self-health care services.