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.

10.1155/2021/9995073 http://scihub22266oqcxt.onion/10.1155/2021/9995073 34250095!8218917!34250095     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=34250095&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 261.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Biomed+Res+Int 2021 ; 2021 (ä): 9995073 Nephropedia Template TP {{tp|p=34250095|t=2021. Studying the Effect of Taking Statins before Infection in the Severity Reduction of COVID-19 with Machine Learning |pdf=|usr=}}{{34250095}} gab.com Text Studying the Effect of Taking Statins before Infection in the Severity Reduction of COVID-19 with Machine Learning JO: Biomed Res Int http://www.kidney.de/pget.php?&tw=1&pmid=34250095 #FOAvip Statins can help COVID-19 patients' treatment because of their involvement in angiotensin-converting enzyme-2. The main objective of this study is to evaluate the impact of statins on COVID-19 severity for people who have been taking statins before COVID-19 infection. The examined research patients include people that had taken three types of statins consisting of Atorvastatin, Simvastatin, and Rosuvastatin. The case study includes 561 patients admitted to the Razi Hospital in Ghaemshahr, Iran, during February and March 2020. The illness severity was encoded based on the respiratory rate, oxygen saturation, systolic pressure, and diastolic pressure in five categories: mild, medium, severe, critical, and death. Since 69.23% of participants were in mild severity condition, the results showed the positive effect of Simvastatin on COVID-19 severity for people that take Simvastatin before being infected by the COVID-19 virus. Also, systolic pressure for this case study is 137.31, which is higher than that of the total patients. Another result of this study is that Simvastatin takers have an average of 95.77 mmHg O(2)Sat; however, the O(2)Sat is 92.42, which is medium severity for evaluating the entire case study. In the rest of this paper, we used machine learning approaches to diagnose COVID-19 patients' severity based on clinical features. Results indicated that the decision tree method could predict patients' illness severity with 87.9% accuracy. Other methods, including the K-nearest neighbors (KNN) algorithm, support vector machine (SVM), Naive Bayes classifier, and discriminant analysis, showed accuracy levels of 80%, 68.8%, 61.1%, and 85.1%, respectively. Twit Text FOAVip Studying the Effect of Taking Statins before Infection in the Severity Reduction of COVID-19 with Machine Learning ????Biomed Res Int http://www.kidney.de/pget.php?&tw=1&pmid=34250095 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34250095 #FOAvip English Wikipedia <ref>{{Cite pmid|34250095}}</ref> Studying the Effect of Taking Statins before Infection in the Severity Reduction of COVID-19 with Machine Learning #MMPMID34250095 Davoudi A; Ahmadi M; Sharifi A; Hassantabar R; Najafi N; Tayebi A; Kasgari HA; Ahmadi F; Rabiee M Biomed Res Int 2021[]; 2021 (ä): 9995073 PMID34250095show ga Statins can help COVID-19 patients' treatment because of their involvement in angiotensin-converting enzyme-2. The main objective of this study is to evaluate the impact of statins on COVID-19 severity for people who have been taking statins before COVID-19 infection. The examined research patients include people that had taken three types of statins consisting of Atorvastatin, Simvastatin, and Rosuvastatin. The case study includes 561 patients admitted to the Razi Hospital in Ghaemshahr, Iran, during February and March 2020. The illness severity was encoded based on the respiratory rate, oxygen saturation, systolic pressure, and diastolic pressure in five categories: mild, medium, severe, critical, and death. Since 69.23% of participants were in mild severity condition, the results showed the positive effect of Simvastatin on COVID-19 severity for people that take Simvastatin before being infected by the COVID-19 virus. Also, systolic pressure for this case study is 137.31, which is higher than that of the total patients. Another result of this study is that Simvastatin takers have an average of 95.77 mmHg O(2)Sat; however, the O(2)Sat is 92.42, which is medium severity for evaluating the entire case study. In the rest of this paper, we used machine learning approaches to diagnose COVID-19 patients' severity based on clinical features. Results indicated that the decision tree method could predict patients' illness severity with 87.9% accuracy. Other methods, including the K-nearest neighbors (KNN) algorithm, support vector machine (SVM), Naive Bayes classifier, and discriminant analysis, showed accuracy levels of 80%, 68.8%, 61.1%, and 85.1%, respectively. |*COVID-19/epidemiology/physiopathology[MESH] |*Hydroxymethylglutaryl-CoA Reductase Inhibitors/administration & dosage/therapeutic use[MESH] |Aged[MESH] |Algorithms[MESH] |Atorvastatin/administration & dosage/therapeutic use[MESH] |Drug Prescriptions/*statistics & numerical data[MESH] |Female[MESH] |Humans[MESH] |Hypercholesterolemia/drug therapy[MESH] |Iran[MESH] |Machine Learning[MESH] |Male[MESH] |Middle Aged[MESH] |Retrospective Studies[MESH] |Rosuvastatin Calcium/administration & dosage/therapeutic use[MESH] |Severity of Illness Index[MESH]Studying the Effect of Taking Statins before Infection in the Severity(epmc).pdf DeepDyve Pubget Overpricing