ROC curves for ASC outcomes (Favorable vs. Unfavorable) for the 2nd and 4th collection.

ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation cohort by different cancer stages.

Yung-Heng Lee (6204656)
Pei-Tseng Kung (593657)
Yueh-Hsin Wang (593658)
Wei-Yin Kuo (5439602)
Su-Ling Kao (6204659)
Wen-Chen Tsai (593659)

January 2019

ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...

The ROC Curves for CONC

Jinfeng Liu (32678)
Julian Gough (19646)
Burkhard Rost (6137)

February 2013

A ROC curve plots the true positive rate (i.e., sensitivity) against the false positive rate (i.e...

ROC curve analysis for the association of the modified DIC score with the development of DIC.

Offer Erez (212386)
Lena Novack (550638)
Ruthy Beer-Weisel (550639)
Doron Dukler (550640)
Fernanda Press (550641)
Alexander Zlotnik (550642)
Nandor Gabor Than (212381)
Aaron Tomer (550643)
Moshe Mazor (550644)

April 2014

ROC curve analysis for the association of the modified DIC score with the development of DIC.</p

ROC analysis results for ASC in serum for Favorable vs Unfavorable outcomes, including area, standard error (STD. ERROR), 95% confidence interval (CI) and p-value for collections 1st, 2nd and 4th.

Nadine Kerr (5713091)
Stephanie W. Lee (3936977)
Jon Perez-Barcena (6166931)
Catalina Crespi (6166934)
Javier Ibañez (316024)
M. Ross Bullock (6166937)
W. Dalton Dietrich (195828)
Robert W. Keane (445797)
Juan Pablo de Rivero Vaccari (445796)

December 2018

ROC analysis results for ASC in serum for Favorable vs Unfavorable outcomes, including area, standar...

ROC analysis results for ASC in serum for Favorable vs Unfavorable outcomes, including cut-off point in pg/ml, sensitivity and specificity, as well as positive and negative likelihood ratios (LR+/LR-) for collections 1st, 2nd and 4th.

Nadine Kerr (5713091)
Stephanie W. Lee (3936977)
Jon Perez-Barcena (6166931)
Catalina Crespi (6166934)
Javier Ibañez (316024)
M. Ross Bullock (6166937)
W. Dalton Dietrich (195828)
Robert W. Keane (445797)
Juan Pablo de Rivero Vaccari (445796)

December 2018

ROC analysis results for ASC in serum for Favorable vs Unfavorable outcomes, including cut-off point...

ROC curves of individual data sources.

Jiaxin Wu (540397)
Yanda Li (22442)
Rui Jiang (264894)

March 2014

(A) Results when validating against the neutral control set. (B) Results when validating against ...

ROC curve comparison diagram.

Zhining Zhang (10583870)
Liang Wan (119472)
Kun Chu (11727827)
Shusheng Li (503955)
Haodong Wei (14259630)
Lu Tang (655389)

December 2022

(a) The result of the first fold PR curve. (b) The result of the second fold PR curve. (c) The resul...

ROC curves for the best result in Experiment 4 (Non correlated features at 97%).

M. Milagro Fernández-Carrobles (820011)
Gloria Bueno (773393)
Oscar Déniz (2206690)
Jesús Salido (820012)
Marcial García-Rojo (820013)
Lucía González-López (820014)

October 2015

ROC curves for the best result in Experiment 4 (Non correlated features at 97%).</p

ROC curve to assess the discriminatory ability of the model predicting aspiration-related ARDS.

Jiang-nan Zhao (706378)
Yao Liu (173014)
Huai-chen Li (706379)

March 2015

ROC curve to assess the discriminatory ability of the model predicting aspiration-related ARDS.</...

ROC curve results.

Hyuk Jin Yun (281662)
Kiho Im (105337)
Jin-Ju Yang (281663)
Uicheul Yoon (281664)
Jong-Min Lee (105338)

February 2013

ROC curves are plots of sensitivity and specificity of algorithms for distinguishing normal contr...

ROC curves for the six randomisations.

Smaragda Tsairidou (561283)
John A. Woolliams (153727)
Adrian R. Allen (462008)
Robin A. Skuce (116935)
Stewart H. McBride (561284)
David M. Wright (462007)
Mairead L. Bermingham (462011)
Ricardo Pong-Wong (168478)
Oswald Matika (561285)
Stanley W. J. McDowell (462010)
Elizabeth J. Glass (177828)
Stephen C. Bishop (367598)

May 2014

ROC curves (a plot of true positive rate (Sensitivity) against false positive rate (1-Specificity...

The ROC curves for evaluating the quality of the algorithms over the entire test datasets.

Bin Ju (126130)
Yuntao Qian (782935)
Minchao Ye (782936)
Rong Ni (259332)
Chenxi Zhu (782937)

August 2015

The ROC curves for evaluating the quality of the algorithms over the entire test datasets.</p

Comparison of various prediction methods in terms of the area under the ROC curve (AUC).

Bernd Lütkenhöner (486490)
Türker Basel (486491)

November 2013

Comparison of various prediction methods in terms of the area under the ROC curve (AUC).</p

ROC curve and the area under the curve (AUC) under different distributional assumptions for the BRCA data.

Mojtaba Ganjali (550736)
Taban Baghfalaki (667319)
Damon Berridge (729703)

April 2015

ROC curve and the area under the curve (AUC) under different distributional assumptions for the B...

ROC curves for the mortality model, using test data (AUC values are indicated on the graph).

Raïsa Carmen (6490166)
Galit B. Yom-Tov (6490169)
Inneke Van Nieuwenhuyse (6490172)
Bram Foubert (6490175)
Yishai Ofran (306566)

March 2019

ROC curves for the mortality model, using test data (AUC values are indicated on the graph).</p

ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation cohort by different cancer stages.

Yung-Heng Lee (6204656)
Pei-Tseng Kung (593657)
Yueh-Hsin Wang (593658)
Wei-Yin Kuo (5439602)
Su-Ling Kao (6204659)
Wen-Chen Tsai (593659)

January 2019

ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...

The ROC Curves for CONC

Jinfeng Liu (32678)
Julian Gough (19646)
Burkhard Rost (6137)

February 2013

A ROC curve plots the true positive rate (i.e., sensitivity) against the false positive rate (i.e...

ROC curve analysis for the association of the modified DIC score with the development of DIC.

Offer Erez (212386)
Lena Novack (550638)
Ruthy Beer-Weisel (550639)
Doron Dukler (550640)
Fernanda Press (550641)
Alexander Zlotnik (550642)
Nandor Gabor Than (212381)
Aaron Tomer (550643)
Moshe Mazor (550644)

April 2014

ROC curve analysis for the association of the modified DIC score with the development of DIC.</p

ROC analysis results for ASC in serum for Favorable vs Unfavorable outcomes, including area, standard error (STD. ERROR), 95% confidence interval (CI) and p-value for collections 1st, 2nd and 4th.

Nadine Kerr (5713091)
Stephanie W. Lee (3936977)
Jon Perez-Barcena (6166931)
Catalina Crespi (6166934)
Javier Ibañez (316024)
M. Ross Bullock (6166937)
W. Dalton Dietrich (195828)
Robert W. Keane (445797)
Juan Pablo de Rivero Vaccari (445796)

December 2018

ROC analysis results for ASC in serum for Favorable vs Unfavorable outcomes, including area, standar...

ROC analysis results for ASC in serum for Favorable vs Unfavorable outcomes, including cut-off point in pg/ml, sensitivity and specificity, as well as positive and negative likelihood ratios (LR+/LR-) for collections 1st, 2nd and 4th.

Nadine Kerr (5713091)
Stephanie W. Lee (3936977)
Jon Perez-Barcena (6166931)
Catalina Crespi (6166934)
Javier Ibañez (316024)
M. Ross Bullock (6166937)
W. Dalton Dietrich (195828)
Robert W. Keane (445797)
Juan Pablo de Rivero Vaccari (445796)

December 2018

ROC analysis results for ASC in serum for Favorable vs Unfavorable outcomes, including cut-off point...

ROC curves of individual data sources.

Jiaxin Wu (540397)
Yanda Li (22442)
Rui Jiang (264894)

March 2014

(A) Results when validating against the neutral control set. (B) Results when validating against ...

ROC curve comparison diagram.

Zhining Zhang (10583870)
Liang Wan (119472)
Kun Chu (11727827)
Shusheng Li (503955)
Haodong Wei (14259630)
Lu Tang (655389)

December 2022

(a) The result of the first fold PR curve. (b) The result of the second fold PR curve. (c) The resul...

ROC curves for the best result in Experiment 4 (Non correlated features at 97%).

M. Milagro Fernández-Carrobles (820011)
Gloria Bueno (773393)
Oscar Déniz (2206690)
Jesús Salido (820012)
Marcial García-Rojo (820013)
Lucía González-López (820014)

October 2015

ROC curves for the best result in Experiment 4 (Non correlated features at 97%).</p

ROC curve to assess the discriminatory ability of the model predicting aspiration-related ARDS.

Jiang-nan Zhao (706378)
Yao Liu (173014)
Huai-chen Li (706379)

March 2015

ROC curve to assess the discriminatory ability of the model predicting aspiration-related ARDS.</...

ROC curve results.

Hyuk Jin Yun (281662)
Kiho Im (105337)
Jin-Ju Yang (281663)
Uicheul Yoon (281664)
Jong-Min Lee (105338)

February 2013

ROC curves are plots of sensitivity and specificity of algorithms for distinguishing normal contr...

ROC curves for the six randomisations.

Smaragda Tsairidou (561283)
John A. Woolliams (153727)
Adrian R. Allen (462008)
Robin A. Skuce (116935)
Stewart H. McBride (561284)
David M. Wright (462007)
Mairead L. Bermingham (462011)
Ricardo Pong-Wong (168478)
Oswald Matika (561285)
Stanley W. J. McDowell (462010)
Elizabeth J. Glass (177828)
Stephen C. Bishop (367598)

May 2014

ROC curves (a plot of true positive rate (Sensitivity) against false positive rate (1-Specificity...

The ROC curves for evaluating the quality of the algorithms over the entire test datasets.

Bin Ju (126130)
Yuntao Qian (782935)
Minchao Ye (782936)
Rong Ni (259332)
Chenxi Zhu (782937)

August 2015

The ROC curves for evaluating the quality of the algorithms over the entire test datasets.</p

Comparison of various prediction methods in terms of the area under the ROC curve (AUC).

Bernd Lütkenhöner (486490)
Türker Basel (486491)

November 2013

Comparison of various prediction methods in terms of the area under the ROC curve (AUC).</p

ROC curve and the area under the curve (AUC) under different distributional assumptions for the BRCA data.

Mojtaba Ganjali (550736)
Taban Baghfalaki (667319)
Damon Berridge (729703)

April 2015

ROC curve and the area under the curve (AUC) under different distributional assumptions for the B...

ROC curves for the mortality model, using test data (AUC values are indicated on the graph).

Raïsa Carmen (6490166)
Galit B. Yom-Tov (6490169)
Inneke Van Nieuwenhuyse (6490172)
Bram Foubert (6490175)
Yishai Ofran (306566)

March 2019

ROC curves for the mortality model, using test data (AUC values are indicated on the graph).</p

ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation cohort by different cancer stages.

Yung-Heng Lee (6204656)
Pei-Tseng Kung (593657)
Yueh-Hsin Wang (593658)
Wei-Yin Kuo (5439602)
Su-Ling Kao (6204659)
Wen-Chen Tsai (593659)

January 2019

ROC curve (receiver operating characteristic curve) and area under curves (AUCs) of the validation c...

The ROC Curves for CONC

Jinfeng Liu (32678)
Julian Gough (19646)
Burkhard Rost (6137)

February 2013

A ROC curve plots the true positive rate (i.e., sensitivity) against the false positive rate (i.e...

ROC curve analysis for the association of the modified DIC score with the development of DIC.

Offer Erez (212386)
Lena Novack (550638)
Ruthy Beer-Weisel (550639)
Doron Dukler (550640)
Fernanda Press (550641)
Alexander Zlotnik (550642)
Nandor Gabor Than (212381)
Aaron Tomer (550643)
Moshe Mazor (550644)

April 2014

ROC curve analysis for the association of the modified DIC score with the development of DIC.</p

ROC curves for ASC outcomes (Favorable vs. Unfavorable) for the 2<sup>nd</sup> and 4<sup>th</sup> collection.

Abstract

Extracted data

ROC curves for ASC outcomes (Favorable vs. Unfavorable) for the 2<sup>nd</sup> and 4<sup>th</sup> collection.

Abstract

Extracted data

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