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10.1016/j.ibmed.2020.100007 http://scihub22266oqcxt.onion/10.1016/j.ibmed.2020.100007 33043312!7531559!33043312     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Intell+Based+Med 2020 ; 1 (ä): 100007 Nephropedia Template TP {{tp|p=33043312|t=2020. Synthea Novel coronavirus (COVID-19) model and synthetic data set |pdf=|usr=}}{{33043312}} gab.com Text Synthea Novel coronavirus (COVID-19) model and synthetic data set JO: Intell Based Med http://www.kidney.de/pget.php?&tw=1&pmid=33043312 #FOAvip March through May 2020, a model of novel coronavirus (COVID-19) disease progression and treatment was constructed for the open-source Synthea patient simulation. The model was constructed using three peer-reviewed publications published in the early stages of the global pandemic, when less was known, along with emerging resources, data, publications, and clinical knowledge. The simulation outputs synthetic Electronic Health Records (EHR), including the daily consumption of Personal Protective Equipment (PPE) and other medical devices and supplies. For this simulation, we generated 124,150 synthetic patients, with 88,166 infections and 18,177 hospitalized patients. Patient symptoms, disease severity, and morbidity outcomes were calibrated using clinical data from the peer-reviewed publications. 4.1% of all simulated infected patients died and 20.6% were hospitalized. At peak observation, 548 dialysis machines and 209 mechanical ventilators were needed. This simulation and the resulting data have been used for the development of algorithms and prototypes designed to address the current or future pandemics, and the model can continue to be refined to incorporate emerging COVID-19 knowledge, variations in patterns of care, and improvement in clinical outcomes. The resulting model, data, and analysis are available as open-source code on GitHub and an open-access data set is available for download. Twit Text FOAVip Synthea Novel coronavirus (COVID-19) model and synthetic data set ????Intell Based Med http://www.kidney.de/pget.php?&tw=1&pmid=33043312 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33043312 #FOAvip English Wikipedia <ref>{{Cite pmid|33043312}}</ref> Synthea Novel coronavirus (COVID-19) model and synthetic data set #MMPMID33043312 Walonoski J; Klaus S; Granger E; Hall D; Gregorowicz A; Neyarapally G; Watson A; Eastman J Intell Based Med 2020[Nov]; 1 (ä): 100007 PMID33043312show ga March through May 2020, a model of novel coronavirus (COVID-19) disease progression and treatment was constructed for the open-source Synthea patient simulation. The model was constructed using three peer-reviewed publications published in the early stages of the global pandemic, when less was known, along with emerging resources, data, publications, and clinical knowledge. The simulation outputs synthetic Electronic Health Records (EHR), including the daily consumption of Personal Protective Equipment (PPE) and other medical devices and supplies. For this simulation, we generated 124,150 synthetic patients, with 88,166 infections and 18,177 hospitalized patients. Patient symptoms, disease severity, and morbidity outcomes were calibrated using clinical data from the peer-reviewed publications. 4.1% of all simulated infected patients died and 20.6% were hospitalized. At peak observation, 548 dialysis machines and 209 mechanical ventilators were needed. This simulation and the resulting data have been used for the development of algorithms and prototypes designed to address the current or future pandemics, and the model can continue to be refined to incorporate emerging COVID-19 knowledge, variations in patterns of care, and improvement in clinical outcomes. The resulting model, data, and analysis are available as open-source code on GitHub and an open-access data set is available for download. äSynthea Novel coronavirus (COVID-19) model and synthetic data set (epmc).pdf DeepDyve Pubget Overpricing