2019
DOI: 10.1016/j.comnet.2019.01.034
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An efficient Elman neural network classifier with cloud supported internet of things structure for health monitoring system

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Cited by 31 publications
(16 citation statements)
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“…However, e-health cloud computing systems could be used to develop complementary devices for handling health problems in the future. E-health cloud computing systems can decrease healthcare service costs [ 13 ], and they can augment healthcare services by sending health-associated data to various departments [ 14 , 15 ]. Moreover, e-health cloud computing systems can be used to develop supportive devices that provide answers to health questions.…”
Section: Introductionmentioning
confidence: 99%
“…However, e-health cloud computing systems could be used to develop complementary devices for handling health problems in the future. E-health cloud computing systems can decrease healthcare service costs [ 13 ], and they can augment healthcare services by sending health-associated data to various departments [ 14 , 15 ]. Moreover, e-health cloud computing systems can be used to develop supportive devices that provide answers to health questions.…”
Section: Introductionmentioning
confidence: 99%
“…The number of selected attributes obtained from the FS process is given to the input of the IENN. The architecture of Elman NN (ENN) [34 ] includes the four layers such as the input layer, output layer, hidden layer, and context layer as shown in Fig. 2.…”
Section: Proposed Methodologymentioning
confidence: 99%
“…Along with collecting medical data, this technology allows performing biometric identification of patients based on their physiological and behavioral patterns. Medical Internet of Things technologies allow, on the one hand, generating the flow of medical data, and, on the other hand, performing continuous biometric identification of patients (Altop, Seymen, & Levi, 2019;Arteaga-Falconi et al, 2018;Berkaya et al, 2018;Bhurane et al, 2019;Challa et al, 2018;Chukwunonyerem et al, 2016;Deng et al, 2018;Dodangeh, & Jahangir, 2018;Ehatisham-ul-Haq et al, 2018;Ellouze et al, 2018;Hu et al, 2018;Kang et al, 2018;Koya & Deepthi, 2018;Krishnan, Lokesh, & Devi, 2019;Kumar, Singhal, Saini, Roy, & Dogra, 2018;Lozoya-Santos et al, 2019;Michael, 2018;Michel-Macarty, Murillo-Escobar, López-Gutiérrez, Cruz-Hernández, & Cardoza-Avendaño, 2018;Modak & Jha, 2019;Moosavi et al, 2018;Nellyzeth, Roberto, Marco, & Conrado, 2018;Peris-Lopez et al, 2018;Pirbhulal et al, 2018;Pirbhulal et al, 2019;Wang et al, 2018;Wazid, Das, & Vasilakos, 2018, Yildirim, 2018.…”
Section: Methodsmentioning
confidence: 99%
“…Figure 1 shows the diagram of bio-keys generation, based on cardiocycles intervals (Aloui et al, 2018, p. 43). (Aloui, Nait-Ali, & Naceur, 2018) Paper (Krishnan et al, 2019) (Challa et al, 2018, p. 535).…”
Section: Methodsmentioning
confidence: 99%