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.

10.18632/oncotarget.12430 http://scihub22266oqcxt.onion/10.18632/oncotarget.12430 C5342132!5342132 !27713120     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\27713120 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Oncotarget 2016 ; 7 (44 ): 71915-71921 Nephropedia Template TP {{tp|p=27713120 |t=2016. Automated analysis of acute myeloid leukemia minimal residual disease using a support vector machine |pdf=|usr=}}{{27713120 }} gab.com Text Automated analysis of acute myeloid leukemia minimal residual disease using a support vector machine JO: Oncotarget http://www.kidney.de/pget.php?&tw=1&pmid=27713120 #FOAvip We investigated the ability of support vector machines (SVM) to analyze minimal residual disease (MRD) in flow cytometry data from patients with acute myeloid leukemia (AML) automatically, objectively and standardly. The initial disease data and MRD review data in the form of 159 flow cytometry standard 3.0 files from 36 CD7-positive AML patients in whom MRD was detected more than once were exported. SVM was used for training with setting the initial disease data to 1 as the flag and setting 15 healthy persons to set 0 as the flag. Based on the two training groups, parameters were optimized, and a predictive model was built to analyze MRD data from each patient. The automated analysis results from the SVM model were compared to those obtained through conventional analysis to determine reliability. Automated analysis results based on the model did not differ from and were correlated with results obtained through conventional analysis (correlation coefficient c = 0.986, P > 0.05). Thus the SVM model could potentially be used to analyze flow cytometry-based AML MRD data automatically, objectively, and in a standardized manner. Twit Text FOAVip Automated analysis of acute myeloid leukemia minimal residual disease using a support vector machine ????Oncotarget http://www.kidney.de/pget.php?&tw=1&pmid=27713120 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27713120 #FOAvip English Wikipedia <ref>{{Cite pmid|27713120 }}</ref> Automated analysis of acute myeloid leukemia minimal residual disease using a support vector machine #MMPMID27713120 Ni W ; Hu B ; Zheng C ; Tong Y ; Wang L ; Li QQ ; Tong X ; Han Y Oncotarget 2016[Nov]; 7 (44 ): 71915-71921 PMID27713120 show ga We investigated the ability of support vector machines (SVM) to analyze minimal residual disease (MRD) in flow cytometry data from patients with acute myeloid leukemia (AML) automatically, objectively and standardly. The initial disease data and MRD review data in the form of 159 flow cytometry standard 3.0 files from 36 CD7-positive AML patients in whom MRD was detected more than once were exported. SVM was used for training with setting the initial disease data to 1 as the flag and setting 15 healthy persons to set 0 as the flag. Based on the two training groups, parameters were optimized, and a predictive model was built to analyze MRD data from each patient. The automated analysis results from the SVM model were compared to those obtained through conventional analysis to determine reliability. Automated analysis results based on the model did not differ from and were correlated with results obtained through conventional analysis (correlation coefficient c = 0.986, P > 0.05). Thus the SVM model could potentially be used to analyze flow cytometry-based AML MRD data automatically, objectively, and in a standardized manner. |*Support Vector Machine [MESH] |Adolescent [MESH] |Adult [MESH] |Aged [MESH] |Antigens, CD7/analysis [MESH] |Female [MESH] |Flow Cytometry [MESH] |Humans [MESH] |Leukemia, Myeloid, Acute/*diagnosis/immunology [MESH] |Male [MESH] |Middle Aged [MESH] |Neoplasm, Residual [MESH]Automated analysis of acute myeloid leukemia minimal residual disease (epmc).pdf DeepDyve Pubget Overpricing