ROC curve of active MMP-2/Pro-MMP-2 ratio.

The areas under the ROC curve (AUC), sensitivity and specificity by the optimized cut-off points for metabolic risk factors associated with the presence of albuminuria (> 30mg/day).

Yi-Yen Lee (271429)
Chih-Kai Yang (727704)
Yi-Ming Weng (575110)
Chung-Hsun Chuang (3165081)
Wei Yu (43094)
Jih-Chang Chen (56326)
Wen-Cheng Li (267110)

June 2016

The areas under the ROC curve (AUC), sensitivity and specificity by the optimized cut-off points ...

The ROC curve for predicting atherosclerosis burden.

Jiangbing Li (766709)
Ruihong Liu (766710)
Xiaokang Ji (766711)
Hao Xue (303100)
Guang Zhang (766712)
Chunxia Wang (766713)
Qicai Chen (766714)
Fuzhong Xue (116249)
Lianqun Cui (766715)

July 2015

The ROC curve for predicting TPS score >5 in fig 3 (left), the AUC for TPS score >5 was 0.73 (95%...

ROC curve for tissue plasminogen activator antigen (tPA:Ag).

Piotr Szczepaniak (729573)
Michał Zabczyk (729574)
Anetta Undas (277141)

April 2015

AUC denotes area under curve; SE, standard error; CI, confidence intervals.</p

ROC curve analysis for the prediction of peritoneal dissemination.

Long Liu (390523)
Xi Zhang (83736)
Bing Yan (170259)
Qunhao Gu (473454)
Xiaodong Zhang (183379)
Jianpeng Jiao (473456)
Dazhi Sun (533693)
Ning Wang (108353)
Xiaoqiang Yue (473457)

March 2014

The Area under the ROC curve (AUC) indicates the diagnostic power of D-dimer levels (AUC = 0.833)...

Receiver operating characteristic (ROC) curves comparing antithrombin III and angiotensinogen markers for SD-SPL prediction.

Dang My Nhi (2136469)
Nguyen Tien Huy (121075)
Kaname Ohyama (1911964)
Daisuke Kimura (689669)
Nguyen Thi Phuong Lan (201932)
Leo Uchida (2136457)
Nguyen Van Thuong (2136451)
Cao Thi My Nhon (2136454)
Le Hong Phuc (2136460)
Nguyen Thi Mai (1846429)
Shusaku Mizukami (2136466)
Lam Quoc Bao (415751)
Nguyen Ngoc Doan (2136463)
Nguyen Van Thanh Binh (2136448)
Luong Chan Quang (186667)
Juntra Karbwang (96344)
Katsuyuki Yui (415756)
Kouichi Morita (201947)
Vu Thi Que Huong (201951)
Kenji Hirayama (40245)

February 2016

Area under the curve (AUC) for antithrombin III = 0.85, AUC for angiotensinogen = 0.83 and AUC fo...

ROC curves of the single diffusion parameters for distinguishing patients with PA from HCs.

Deying Wen (17936110)
Pengfei Peng (9097434)
Xun Yue (628928)
Chenxiao Xu (11175531)
Qian Pu (7426646)
Yue Ming (438455)
Huiyi Yang (6031187)
Miaoqi Zhang (17936113)
Yan Ren (149348)
Jiayu Sun (2091892)

February 2024

The AUC values for the α_Cortex, FA_Cortex, Da_Cortex, FA_Medulla and MD_Medulla were 0.715, 0.834, ...

AUC (95% C.I.) of the ROC curve analysis to discriminate patients and controls, patients with DR and participants without DR, and patients with CSME and participants without CSME.

Li-Ting Tsai (3111165)
Kuo-Meng Liao (3111162)
Yuh Jang (3111159)
Fu-Chang Hu (177537)
Wei-Chi Wu (287560)

September 2016

AUC (95% C.I.) of the ROC curve analysis to discriminate patients and controls, patients with DR ...

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 curve as discriminators between cancer and normal tissues.

XiaoTian Zhang (5661919)
ZhaoHui Ni (5661922)
ZiPeng Duan (5661925)
ZhuoYuan Xin (688794)
HuaiDong Wang (688795)
JiaYi Tan (688796)
GuoQing Wang (5661928)
Fan Li (49953)

February 2015

AUC, Area under the ROC Curve; All indicates the combination of E2F1, E2F2, E2F3, E2F4, E2F5, and...

ROC curves of patients with aSAH and controls.

John A. L. Meeuwsen (3990200)
Femke N. G. van ´t Hof (3990197)
Wouter van Rheenen (172229)
Gabriel J. E. Rinkel (517413)
Jan H. Veldink (119438)
Ynte M. Ruigrok (517412)

May 2017

ROC, Receiver operating characteristic; aSAH, aneurysmal subarachnoid hemorrhage; AUC, area under...

AUC-ROC Test.

Davide Cossu (341015)
Eleonora Cocco (314181)
Daniela Paccagnini (341014)
Speranza Masala (341013)
Niyaz Ahmed (20828)
Jessica Frau (319808)
Maria Giovanna Marrosu (314216)
Leonardo A. Sechi (84079)

February 2013

Evaluation of serum samples from 50 MS patients (right column) and 56 healthy controls (left colu...

ROC curve with AUC for urine IgG to albumin ratio at the time of diagnosis.

Marija Mravljak (497407)
Alenka Vizjak (497408)
Dusan Ferluga (497409)
Jernej Pajek (497410)
Damjan Kovac (497411)
Andrej Skoberne (408029)
Andreja Ales Rigler (497412)
Radoslav Kveder (497413)
Andrej Kosir (5657236)
Jelka Lindic (497414)

December 2013

ROC curve with AUC for urine IgG to albumin ratio at the time of diagnosis.</p

ROC curves at 30% and 70% G6PD activity thresholds on A) capillary specimens and B) venous specimens.

Wondimagegn Adissu (10760574)
Marcelo Brito (3909610)
Eduardo Garbin (11269310)
Marcela Macedo (11269316)
Wuelton Monteiro (752733)
Sandip Kumar Mukherjee (8148225)
Jane Myburg (17138414)
Mohammad Shafiul Alam (8551116)
Germana Bancone (34875)
Pooja Bansil (2585788)
Sampa Pal (4050442)
Abhijit Sharma (5622971)
Stephanie Zobrist (350922)
Andrew Bryan (251549)
Cindy S. Chu (7464938)
Santasabuj Das (619514)
Gonzalo J. Domingo (8842955)
Amanda Hann (11457282)
James Kublin (325740)
Marcus V. G. Lacerda (7274882)
Mark Layton (11457303)
Benedikt Ley (148722)
Sean C. Murphy (8355450)
Francois Nosten (2580787)
Dhélio Pereira (16617806)
Ric N. Price (7464974)
Arunansu Talukdar (17138417)
Daniel Yilma (446954)
Emily Gerth-Guyette (4012595)

October 2023

ROC curves at 30% and 70% G6PD activity thresholds on A) capillary specimens and B) venous specimens...

Assessment of the utility of Ang-2 levels and the Ang-2/Ang-1 ratio in discriminating between potentially severe malaria (cases) and controls using ROC analysis for all patients (A, B), patients with platelet counts <75,000/µL (C, D), and patients with platelet counts >75,000/µL (E, F).

Luciano Teixeira Gomes (638367)
Eduardo Rodrigues Alves-Junior (638368)
Clebson Rodrigues-Jesus (638369)
Andreia Ferreira Nery (638370)
Thamires Oliveira Gasquez-Martin (638371)
Cor Jesus Fontes (216797)

October 2014

The reference line represents the ROC curve for a test with no discriminatory ability. The area u...

The ROC curves for the biomarkers and the severity scores.

Yanyan Zhou (158996)
Haiyun Dong (794468)
Yanjun Zhong (794469)
Jia Huang (42138)
Jianlei Lv (794470)
Jinxiu Li (221935)

September 2015

The areas under the ROC curve (AUCs) for the CIRP level, the APACHE II score, the SOFA score, the...

The areas under the ROC curve (AUC), sensitivity and specificity by the optimized cut-off points for metabolic risk factors associated with the presence of albuminuria (> 30mg/day).

Yi-Yen Lee (271429)
Chih-Kai Yang (727704)
Yi-Ming Weng (575110)
Chung-Hsun Chuang (3165081)
Wei Yu (43094)
Jih-Chang Chen (56326)
Wen-Cheng Li (267110)

June 2016

The areas under the ROC curve (AUC), sensitivity and specificity by the optimized cut-off points ...

The ROC curve for predicting atherosclerosis burden.

Jiangbing Li (766709)
Ruihong Liu (766710)
Xiaokang Ji (766711)
Hao Xue (303100)
Guang Zhang (766712)
Chunxia Wang (766713)
Qicai Chen (766714)
Fuzhong Xue (116249)
Lianqun Cui (766715)

July 2015

The ROC curve for predicting TPS score >5 in fig 3 (left), the AUC for TPS score >5 was 0.73 (95%...

ROC curve for tissue plasminogen activator antigen (tPA:Ag).

Piotr Szczepaniak (729573)
Michał Zabczyk (729574)
Anetta Undas (277141)

April 2015

AUC denotes area under curve; SE, standard error; CI, confidence intervals.</p

ROC curve analysis for the prediction of peritoneal dissemination.

Long Liu (390523)
Xi Zhang (83736)
Bing Yan (170259)
Qunhao Gu (473454)
Xiaodong Zhang (183379)
Jianpeng Jiao (473456)
Dazhi Sun (533693)
Ning Wang (108353)
Xiaoqiang Yue (473457)

March 2014

The Area under the ROC curve (AUC) indicates the diagnostic power of D-dimer levels (AUC = 0.833)...

Receiver operating characteristic (ROC) curves comparing antithrombin III and angiotensinogen markers for SD-SPL prediction.

Dang My Nhi (2136469)
Nguyen Tien Huy (121075)
Kaname Ohyama (1911964)
Daisuke Kimura (689669)
Nguyen Thi Phuong Lan (201932)
Leo Uchida (2136457)
Nguyen Van Thuong (2136451)
Cao Thi My Nhon (2136454)
Le Hong Phuc (2136460)
Nguyen Thi Mai (1846429)
Shusaku Mizukami (2136466)
Lam Quoc Bao (415751)
Nguyen Ngoc Doan (2136463)
Nguyen Van Thanh Binh (2136448)
Luong Chan Quang (186667)
Juntra Karbwang (96344)
Katsuyuki Yui (415756)
Kouichi Morita (201947)
Vu Thi Que Huong (201951)
Kenji Hirayama (40245)

February 2016

Area under the curve (AUC) for antithrombin III = 0.85, AUC for angiotensinogen = 0.83 and AUC fo...

ROC curves of the single diffusion parameters for distinguishing patients with PA from HCs.

Deying Wen (17936110)
Pengfei Peng (9097434)
Xun Yue (628928)
Chenxiao Xu (11175531)
Qian Pu (7426646)
Yue Ming (438455)
Huiyi Yang (6031187)
Miaoqi Zhang (17936113)
Yan Ren (149348)
Jiayu Sun (2091892)

February 2024

The AUC values for the α_Cortex, FA_Cortex, Da_Cortex, FA_Medulla and MD_Medulla were 0.715, 0.834, ...

AUC (95% C.I.) of the ROC curve analysis to discriminate patients and controls, patients with DR and participants without DR, and patients with CSME and participants without CSME.

Li-Ting Tsai (3111165)
Kuo-Meng Liao (3111162)
Yuh Jang (3111159)
Fu-Chang Hu (177537)
Wei-Chi Wu (287560)

September 2016

AUC (95% C.I.) of the ROC curve analysis to discriminate patients and controls, patients with DR ...

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 curve as discriminators between cancer and normal tissues.

XiaoTian Zhang (5661919)
ZhaoHui Ni (5661922)
ZiPeng Duan (5661925)
ZhuoYuan Xin (688794)
HuaiDong Wang (688795)
JiaYi Tan (688796)
GuoQing Wang (5661928)
Fan Li (49953)

February 2015

AUC, Area under the ROC Curve; All indicates the combination of E2F1, E2F2, E2F3, E2F4, E2F5, and...

ROC curves of patients with aSAH and controls.

John A. L. Meeuwsen (3990200)
Femke N. G. van ´t Hof (3990197)
Wouter van Rheenen (172229)
Gabriel J. E. Rinkel (517413)
Jan H. Veldink (119438)
Ynte M. Ruigrok (517412)

May 2017

ROC, Receiver operating characteristic; aSAH, aneurysmal subarachnoid hemorrhage; AUC, area under...

AUC-ROC Test.

Davide Cossu (341015)
Eleonora Cocco (314181)
Daniela Paccagnini (341014)
Speranza Masala (341013)
Niyaz Ahmed (20828)
Jessica Frau (319808)
Maria Giovanna Marrosu (314216)
Leonardo A. Sechi (84079)

February 2013

Evaluation of serum samples from 50 MS patients (right column) and 56 healthy controls (left colu...

ROC curve with AUC for urine IgG to albumin ratio at the time of diagnosis.

Marija Mravljak (497407)
Alenka Vizjak (497408)
Dusan Ferluga (497409)
Jernej Pajek (497410)
Damjan Kovac (497411)
Andrej Skoberne (408029)
Andreja Ales Rigler (497412)
Radoslav Kveder (497413)
Andrej Kosir (5657236)
Jelka Lindic (497414)

December 2013

ROC curve with AUC for urine IgG to albumin ratio at the time of diagnosis.</p

ROC curves at 30% and 70% G6PD activity thresholds on A) capillary specimens and B) venous specimens.

Wondimagegn Adissu (10760574)
Marcelo Brito (3909610)
Eduardo Garbin (11269310)
Marcela Macedo (11269316)
Wuelton Monteiro (752733)
Sandip Kumar Mukherjee (8148225)
Jane Myburg (17138414)
Mohammad Shafiul Alam (8551116)
Germana Bancone (34875)
Pooja Bansil (2585788)
Sampa Pal (4050442)
Abhijit Sharma (5622971)
Stephanie Zobrist (350922)
Andrew Bryan (251549)
Cindy S. Chu (7464938)
Santasabuj Das (619514)
Gonzalo J. Domingo (8842955)
Amanda Hann (11457282)
James Kublin (325740)
Marcus V. G. Lacerda (7274882)
Mark Layton (11457303)
Benedikt Ley (148722)
Sean C. Murphy (8355450)
Francois Nosten (2580787)
Dhélio Pereira (16617806)
Ric N. Price (7464974)
Arunansu Talukdar (17138417)
Daniel Yilma (446954)
Emily Gerth-Guyette (4012595)

October 2023

ROC curves at 30% and 70% G6PD activity thresholds on A) capillary specimens and B) venous specimens...

Assessment of the utility of Ang-2 levels and the Ang-2/Ang-1 ratio in discriminating between potentially severe malaria (cases) and controls using ROC analysis for all patients (A, B), patients with platelet counts <75,000/µL (C, D), and patients with platelet counts >75,000/µL (E, F).

Luciano Teixeira Gomes (638367)
Eduardo Rodrigues Alves-Junior (638368)
Clebson Rodrigues-Jesus (638369)
Andreia Ferreira Nery (638370)
Thamires Oliveira Gasquez-Martin (638371)
Cor Jesus Fontes (216797)

October 2014

The reference line represents the ROC curve for a test with no discriminatory ability. The area u...

The ROC curves for the biomarkers and the severity scores.

Yanyan Zhou (158996)
Haiyun Dong (794468)
Yanjun Zhong (794469)
Jia Huang (42138)
Jianlei Lv (794470)
Jinxiu Li (221935)

September 2015

The areas under the ROC curve (AUCs) for the CIRP level, the APACHE II score, the SOFA score, the...

The areas under the ROC curve (AUC), sensitivity and specificity by the optimized cut-off points for metabolic risk factors associated with the presence of albuminuria (> 30mg/day).

Yi-Yen Lee (271429)
Chih-Kai Yang (727704)
Yi-Ming Weng (575110)
Chung-Hsun Chuang (3165081)
Wei Yu (43094)
Jih-Chang Chen (56326)
Wen-Cheng Li (267110)

June 2016

The areas under the ROC curve (AUC), sensitivity and specificity by the optimized cut-off points ...

The ROC curve for predicting atherosclerosis burden.

Jiangbing Li (766709)
Ruihong Liu (766710)
Xiaokang Ji (766711)
Hao Xue (303100)
Guang Zhang (766712)
Chunxia Wang (766713)
Qicai Chen (766714)
Fuzhong Xue (116249)
Lianqun Cui (766715)

July 2015

The ROC curve for predicting TPS score >5 in fig 3 (left), the AUC for TPS score >5 was 0.73 (95%...

ROC curve for tissue plasminogen activator antigen (tPA:Ag).

Piotr Szczepaniak (729573)
Michał Zabczyk (729574)
Anetta Undas (277141)

April 2015

AUC denotes area under curve; SE, standard error; CI, confidence intervals.</p

ROC curve of active MMP-2/Pro-MMP-2 ratio.

Abstract

Extracted data

ROC curve of active MMP-2/Pro-MMP-2 ratio.

Abstract

Extracted data

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