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.

10.3233/SHTI200706 http://scihub22266oqcxt.onion/10.3233/SHTI200706 33227752!ä!33227752 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Stud+Health+Technol+Inform 2020 ; 275 (ä): 117-121 Nephropedia Template TP {{tp|p=33227752|t=2020. Reuse of Clinical COVID-19 Patient Data: Pre-Processing for Future Classification |pdf=|usr=}}{{33227752}} gab.com Text Reuse of Clinical COVID-19 Patient Data: Pre-Processing for Future Classification JO: Stud Health Technol Inform http://www.kidney.de/pget.php?&tw=1&pmid=33227752 #FOAvip One of the most important challenges in the scenario of COVID-19 is to design and develop decision support systems that can help medical staff to identify a cohort of patients that is more likely to have worse clinical evolution. To achieve this objective it is necessary to work on collected data, pre-process them in order to obtain a consistent dataset and then extract the most relevant features with advanced statistical methods like principal component analysis. As preliminary results of this research, very influential features that emerged are the presence of cardiac and liver illnesses and the levels of some inflammatory parameters at the moment of diagnosis. Twit Text FOAVip Reuse of Clinical COVID-19 Patient Data: Pre-Processing for Future Classification ????Stud Health Technol Inform http://www.kidney.de/pget.php?&tw=1&pmid=33227752 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33227752 #FOAvip English Wikipedia <ref>{{Cite pmid|33227752}}</ref> Reuse of Clinical COVID-19 Patient Data: Pre-Processing for Future Classification #MMPMID33227752 Lazarova E; Mora S; Di Biagio A; Vena A; Giacomini M Stud Health Technol Inform 2020[Nov]; 275 (ä): 117-121 PMID33227752show ga One of the most important challenges in the scenario of COVID-19 is to design and develop decision support systems that can help medical staff to identify a cohort of patients that is more likely to have worse clinical evolution. To achieve this objective it is necessary to work on collected data, pre-process them in order to obtain a consistent dataset and then extract the most relevant features with advanced statistical methods like principal component analysis. As preliminary results of this research, very influential features that emerged are the presence of cardiac and liver illnesses and the levels of some inflammatory parameters at the moment of diagnosis. |*Betacoronavirus[MESH] |*Coronavirus Infections[MESH] |*Data Analysis[MESH] |*Decision Support Systems, Clinical[MESH] |*Pandemics[MESH] |*Pneumonia, Viral[MESH] |COVID-19[MESH] |Humans[MESH]Reuse of Clinical COVID-19 Patient Data: Pre-Processing for Future Cl(epmc).pdf DeepDyve Pubget Overpricing