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http://scihub22266oqcxt.onion/ C5333330!5333330!28269867     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       AMIA+Annu+Symp+Proc 2016 ; 2016 (ä): 705-14 Nephropedia Template TP {{tp|p=28269867|t=2016. Feasibility of Extracting Key Elements from ClinicalTrials gov to Support Clinicians? Patient Care Decisions |pdf=|usr=}}{{28269867}} gab.com Text Feasibility of Extracting Key Elements from ClinicalTrials gov to Support Clinicians Patient Care Decisions JO: AMIA Annu Symp Proc http://www.kidney.de/pget.php?&tw=1&pmid=28269867 #FOAvip Motivation: Clinicians need up-to-date evidence from high quality clinical trials to support clinical decisions. However, applying evidence from the primary literature requires significant effort.Objective: To examine the feasibility of automatically extracting key clinical trial information from ClinicalTrials.gov.Methods: We assessed the coverage of ClinicalTrials.gov for high quality clinical studies that are indexed in PubMed. Using 140 random ClinicalTrials.gov records, we developed and tested rules for the automatic extraction of key information.Results: The rate of high quality clinical trial registration in ClinicalTrials.gov increased from 0.2% in 2005 to 17% in 2015. Trials reporting results increased from 3% in 2005 to 19% in 2015. The accuracy of the automatic extraction algorithm for 10 trial attributes was 90% on average. Future research is needed to improve the algorithm accuracy and to design information displays to optimally present trial information to clinicians. Twit Text FOAVip Feasibility of Extracting Key Elements from ClinicalTrials gov to Support Clinicians Patient Care Decisions ????AMIA Annu Symp Proc http://www.kidney.de/pget.php?&tw=1&pmid=28269867 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28269867 #FOAvip English Wikipedia <ref>{{Cite pmid|28269867}}</ref> Feasibility of Extracting Key Elements from ClinicalTrials gov to Support Clinicians? Patient Care Decisions #MMPMID28269867 Kim H; Bian J; Mostafa J; Jonnalagadda S; Del Fiol G AMIA Annu Symp Proc 2016[]; 2016 (ä): 705-14 PMID28269867show ga Motivation: Clinicians need up-to-date evidence from high quality clinical trials to support clinical decisions. However, applying evidence from the primary literature requires significant effort.Objective: To examine the feasibility of automatically extracting key clinical trial information from ClinicalTrials.gov.Methods: We assessed the coverage of ClinicalTrials.gov for high quality clinical studies that are indexed in PubMed. Using 140 random ClinicalTrials.gov records, we developed and tested rules for the automatic extraction of key information.Results: The rate of high quality clinical trial registration in ClinicalTrials.gov increased from 0.2% in 2005 to 17% in 2015. Trials reporting results increased from 3% in 2005 to 19% in 2015. The accuracy of the automatic extraction algorithm for 10 trial attributes was 90% on average. Future research is needed to improve the algorithm accuracy and to design information displays to optimally present trial information to clinicians. äFeasibility of Extracting Key Elements from ClinicalTrials gov to Supp(epmc).pdf DeepDyve Pubget Overpricing