The development of wireless sensor network with Internet of Things(IoT)predicts various applications in the field of healthcare and cloud computing.This can give promising results on mobile health care(M-health)and Te...The development of wireless sensor network with Internet of Things(IoT)predicts various applications in the field of healthcare and cloud computing.This can give promising results on mobile health care(M-health)and Telecare medicine information systems.M-health system on cloud Internet of Things(IoT)through wireless sensor network(WSN)becomes the rising research for the need of modern society.Sensor devices attached to the patients’body which is connected to the mobile device can ease the medical services.Security is the key connect for optimal performance of the m-health system that share the data of patients in wireless networks in order to maintain the anonymity of the patients.This paper proposed a secure transmission of M-health data in wireless networks using proposed key agreement based Kerberos protocol.The patients processed data are stored in cloud server and accessed by doctors and caregivers.The data transfer between the patients,server and the doctors are accessed with proposed protocol in order to maintain the confidentiality and integrity of authentication.The efficiency of the proposed algorithm is compared with the existing protocols.For computing 100 devices it consumes only 91milllisecond for computation.展开更多
Objective:To evaluate the pregnancy outcomes of the four endometrial preparation protocols for people undergoing frozen-thawed embryo transfer(FET),including natural cycle(NC),hormone replacement therapy cycle(HRT),go...Objective:To evaluate the pregnancy outcomes of the four endometrial preparation protocols for people undergoing frozen-thawed embryo transfer(FET),including natural cycle(NC),hormone replacement therapy cycle(HRT),gonadotropin-releasing hormone agonist artificial cycle(GAC),and ovarian stimulation cycle(OC).Methods:This retrospective cohort study enrolled 10,333 cycles of frozen embryo transfer performed at Xinan Gynecological Hospital in Sichuan,China,from January 2018 to December 2018.The patient's baseline characteristics and pregnancy outcomes were extracted from the medical record system.Pregnancy outcomes were compared among the four groups and multiple logistic regression models were used to adjust for the confounding factors.Results:After adjusting for covariates,multiple logistic regression analysis showed no statistical significance in pregnancy outcomes in the HRT group,GAC group,and OC group compared to the NC group in the entire population.The adjusted odds ratio of live birth was 0.976(95%)confidence interval[Cl](0.837-1.138)for the HRT group,0.959(95%confidence interval 0.797-1.152)for the GAC group,and 0.909(95%confidence interval 0.763-1.083)for the OC group.Conclusions:The natural protocol had comparable pregnancy outcomes compared to the other three endometrial preparation protocols in the overall FET population.More high-quality prospective randomized controlled trials are required to assess the efficacy of the four protocols and explore the optimal one.展开更多
文摘The development of wireless sensor network with Internet of Things(IoT)predicts various applications in the field of healthcare and cloud computing.This can give promising results on mobile health care(M-health)and Telecare medicine information systems.M-health system on cloud Internet of Things(IoT)through wireless sensor network(WSN)becomes the rising research for the need of modern society.Sensor devices attached to the patients’body which is connected to the mobile device can ease the medical services.Security is the key connect for optimal performance of the m-health system that share the data of patients in wireless networks in order to maintain the anonymity of the patients.This paper proposed a secure transmission of M-health data in wireless networks using proposed key agreement based Kerberos protocol.The patients processed data are stored in cloud server and accessed by doctors and caregivers.The data transfer between the patients,server and the doctors are accessed with proposed protocol in order to maintain the confidentiality and integrity of authentication.The efficiency of the proposed algorithm is compared with the existing protocols.For computing 100 devices it consumes only 91milllisecond for computation.
基金supported by the grants from Natural Science Foundation of Chongqing(Nos:cstc2019jcyj-msxmX0749,cstc2019jxjl130030,cstc2018jxjl130065)Intelligent Medicine Research Project of Chongqing Medical University(YJSZHYX202010)Sichuan Provincial Science and Technology Plan Project(2019YFSY0047)and Applied Basic Research Project in Sichuan Province(2018JY0357).
文摘Objective:To evaluate the pregnancy outcomes of the four endometrial preparation protocols for people undergoing frozen-thawed embryo transfer(FET),including natural cycle(NC),hormone replacement therapy cycle(HRT),gonadotropin-releasing hormone agonist artificial cycle(GAC),and ovarian stimulation cycle(OC).Methods:This retrospective cohort study enrolled 10,333 cycles of frozen embryo transfer performed at Xinan Gynecological Hospital in Sichuan,China,from January 2018 to December 2018.The patient's baseline characteristics and pregnancy outcomes were extracted from the medical record system.Pregnancy outcomes were compared among the four groups and multiple logistic regression models were used to adjust for the confounding factors.Results:After adjusting for covariates,multiple logistic regression analysis showed no statistical significance in pregnancy outcomes in the HRT group,GAC group,and OC group compared to the NC group in the entire population.The adjusted odds ratio of live birth was 0.976(95%)confidence interval[Cl](0.837-1.138)for the HRT group,0.959(95%confidence interval 0.797-1.152)for the GAC group,and 0.909(95%confidence interval 0.763-1.083)for the OC group.Conclusions:The natural protocol had comparable pregnancy outcomes compared to the other three endometrial preparation protocols in the overall FET population.More high-quality prospective randomized controlled trials are required to assess the efficacy of the four protocols and explore the optimal one.
