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Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Effective Remote Monitoring System for Heart Disease Patients
AU - BinSalman, Khalid
AU - Fayoumi, Amjad
N1 - ©2018 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
PY - 2018/9/3
Y1 - 2018/9/3
N2 - Despite the advancement that has been seen in all life aspects and in particular in technology, patients still struggle in receiving the care and emergent support they need due to the ever-increasing cost of healthcare services and the increasing number of chronic diseases patients. Information technology can offer promising solutions to 21`st century human, in particularly the what is called internet of things (IoTs) and remote based services. We design and develop a solution where patients can use wearable sensors that can offer a prediction and alerting in their heart disease conditions. The solution seems promising when it is combined with medical profile data, better decisions can be made and alerting of emergency can be timely which can help to save lives. We use data gathered from few number of people to build our analytics and decision model.
AB - Despite the advancement that has been seen in all life aspects and in particular in technology, patients still struggle in receiving the care and emergent support they need due to the ever-increasing cost of healthcare services and the increasing number of chronic diseases patients. Information technology can offer promising solutions to 21`st century human, in particularly the what is called internet of things (IoTs) and remote based services. We design and develop a solution where patients can use wearable sensors that can offer a prediction and alerting in their heart disease conditions. The solution seems promising when it is combined with medical profile data, better decisions can be made and alerting of emergency can be timely which can help to save lives. We use data gathered from few number of people to build our analytics and decision model.
U2 - 10.1109/CBI.2018.10056
DO - 10.1109/CBI.2018.10056
M3 - Conference contribution/Paper
SN - 9781538670170
T3 - 2018 IEEE 20th Conference on Business Informatics (CBI)
SP - 114
EP - 121
BT - 2018 IEEE 20th Conference on Business Informatics (CBI)
PB - IEEE
ER -