Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1016/j.dsx.2020.06.014 http://scihub22266oqcxt.onion/10.1016/j.dsx.2020.06.014 32570016!7287427!32570016     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Diabetes+Metab+Syndr 2020 ; 14 (5): 911-915 Nephropedia Template TP {{tp|p=32570016|t=2020. Application of cognitive Internet of Medical Things for COVID-19 pandemic |pdf=|usr=}}{{32570016}} gab.com Text Application of cognitive Internet of Medical Things for COVID-19 pandemic JO: Diabetes Metab Syndr http://www.kidney.de/pget.php?&tw=1&pmid=32570016 #FOAvip BACKGROUND AND AIM: In the age of advanced digital technology, smart healthcare based on the Internet of Things (IoT) is gaining importance to deal with the current COVID-19 pandemic. In this paper, the novel application of cognitive radio (CR) based IoT specific for the medical domain referred to as Cognitive Internet of Medical Things (CIoMT) is explored to tackle the global challenge. This concept of CIoT is best suited to this pandemic as every person is to be connected and monitored through a massive network that requires efficient spectrum management. METHODS: An extensive literature survey is conducted in the Google Scholar, Scopus, PubMed, Research Gate, and IEEE Xplore databases using the terms "COVID-19" and "Cognitive IoT" or "Corona virus" and "IoMT". The latest data and inputs from official websites and reports are used for further investigation and analysis of the application areas. RESULTS: This review encompasses different novel applications of CIoMT for fighting the ongoing COVID-19 health crisis. The CR based dynamic spectrum allocation technique is the solution for accommodating a massive number of devices and a wide number of applications. The CIoMT platform enables real-time tracking, remote health monitoring, rapid diagnosis of the cases, contact tracking, clustering, screening, and surveillance thus, reducing the workload on the medical industry for prevention and control of the infection. The challenges and future research directions are also identified. CONCLUSIONS: CIoMT is a promising technology for rapid diagnosis, dynamic monitoring and tracking, better treatment and control without spreading the virus to others. Twit Text FOAVip Application of cognitive Internet of Medical Things for COVID-19 pandemic ????Diabetes Metab Syndr http://www.kidney.de/pget.php?&tw=1&pmid=32570016 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32570016 #FOAvip English Wikipedia <ref>{{Cite pmid|32570016}}</ref> Application of cognitive Internet of Medical Things for COVID-19 pandemic #MMPMID32570016 Swayamsiddha S; Mohanty C Diabetes Metab Syndr 2020[Sep]; 14 (5): 911-915 PMID32570016show ga BACKGROUND AND AIM: In the age of advanced digital technology, smart healthcare based on the Internet of Things (IoT) is gaining importance to deal with the current COVID-19 pandemic. In this paper, the novel application of cognitive radio (CR) based IoT specific for the medical domain referred to as Cognitive Internet of Medical Things (CIoMT) is explored to tackle the global challenge. This concept of CIoT is best suited to this pandemic as every person is to be connected and monitored through a massive network that requires efficient spectrum management. METHODS: An extensive literature survey is conducted in the Google Scholar, Scopus, PubMed, Research Gate, and IEEE Xplore databases using the terms "COVID-19" and "Cognitive IoT" or "Corona virus" and "IoMT". The latest data and inputs from official websites and reports are used for further investigation and analysis of the application areas. RESULTS: This review encompasses different novel applications of CIoMT for fighting the ongoing COVID-19 health crisis. The CR based dynamic spectrum allocation technique is the solution for accommodating a massive number of devices and a wide number of applications. The CIoMT platform enables real-time tracking, remote health monitoring, rapid diagnosis of the cases, contact tracking, clustering, screening, and surveillance thus, reducing the workload on the medical industry for prevention and control of the infection. The challenges and future research directions are also identified. CONCLUSIONS: CIoMT is a promising technology for rapid diagnosis, dynamic monitoring and tracking, better treatment and control without spreading the virus to others. |*Cognition[MESH] |Betacoronavirus/*isolation & purification[MESH] |COVID-19[MESH] |Coronavirus Infections/*diagnosis/*prevention & control/transmission/virology[MESH] |Delivery of Health Care/*standards[MESH] |Humans[MESH] |Internet of Things/*standards/*statistics & numerical data[MESH] |Pandemics/*prevention & control[MESH] |Pneumonia, Viral/*diagnosis/*prevention & control/transmission/virology[MESH] |SARS-CoV-2[MESH]Application of cognitive Internet of Medical Things for COVID-19 pande(epmc).pdf DeepDyve Pubget Overpricing