DocumentCode
144658
Title
Development and validation of an AI-enabled mHealth technology for in-home pregnancy management
Author
Kazantsev, Alexander ; Ponomareva, Julia ; Kazantsev, Pavel
Author_Institution
Lab. of New Methods in Biol., Inst. for Biol. Instrum., Pushchino, Russia
Volume
2
fYear
2014
fDate
26-28 April 2014
Firstpage
927
Lastpage
931
Abstract
The solution of perinatal morbidity and mortality problem lies in the development of an information technology for large-scale eHealth-enabled management of pregnancy, making use of personal mobile web monitors, cloud computing and artificial intelligence. The solution leads to halving the indices of perinatal morbidity and mortality, as well as the costs of pregnancy care at the same time. Lowering the costs of care in turn ensures the investment attractiveness of the eHealthcare services, and makes them affordable to low budget care providers. The advances of the technology are substantiated by the results already obtained. The concept of large-scale eHealth pregnancy management, making use of mobile/ wearable personal monitors, artificial intelligence and cloud computing is first proposed.
Keywords
artificial intelligence; cloud computing; health care; medical information systems; obstetrics; artificial intelligence-enabled mHealth technology; cloud computing; in-home pregnancy management; information technology; large-scale eHealth pregnancy management; perinatal morbidity problem; perinatal mortality problem; personal mobile Web monitors; wearable personal monitors; Artificial intelligence; Biomedical monitoring; Cloud computing; Doppler effect; Fetal heart rate; Monitoring; Pregnancy; artificial intelligence; cloud computing; fetal monitoring; health care; mobile monitor; obstetrics;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
Conference_Location
Sapporo
Print_ISBN
978-1-4799-3196-5
Type
conf
DOI
10.1109/InfoSEEE.2014.6947804
Filename
6947804
Link To Document