Areas under ROC curve (AUC) and sensitivities (%) at fixed specificities of 80% and 90% obtained with SD-OCT and SAP data using MLCs, CSFI, glaucoma specialists and general ophthalmologists.

Comparison of areas under the receiver operating characteristic curves (AUCs) between wide and standard macula scans of macular thickness parameters and between wide and standard disc scans of circumpapillary retinal nerve fiber layer (cpRNFL) thickness parameters for assessing glaucoma.

Eun Hee Hong (5066597)
Yong Un Shin (3269847)
Min Ho Kang (799905)
Heeyoon Cho (5066594)
Mincheol Seong (3269862)

April 2018

Comparison of areas under the receiver operating characteristic curves (AUCs) between wide and st...

ROC curves for the different algorithms adapted according to EULAR indications.

Luca Navarini (4576774)
Domenico Paolo Emanuele Margiotta (4576768)
Francesco Caso (5848853)
Damiano Currado (5848856)
Marco Tasso (805939)
Silvia Angeletti (703420)
Massimo Ciccozzi (76730)
Raffaele Scarpa (3448187)
Antonella Afeltra (4576780)
Luisa Costa (5848859)

October 2018

Areas under the curve (AUC)-values (95% CI) are 0.7679 (95% CI 0.64768 to 0.88812), 0.8648 (95% CI 0...

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...

Area under the ROC curve sensitivity = 77.5%, specificity = 61.3%, AUC = 0.751 with cutoff = 0.488.

Nadine Kraamwinkel (5018939)
Hans Ekbrand (6191126)
Stefania Davia (6191129)
Adel Daoud (3173796)

January 2019

Area under the ROC curve sensitivity = 77.5%, specificity = 61.3%, AUC = 0.751 with cutoff = 0.488.<...

ROC Curves of the best MLC (RBF), CSFI, general ophthalmologists and glaucoma specialists.

Leonardo Seidi Shigueoka (6053819)
José Paulo Cabral de Vasconcellos (740058)
Rui Barroso Schimiti (6053822)
Alexandre Soares Castro Reis (6053825)
Gabriel Ozeas de Oliveira (6053828)
Edson Satoshi Gomi (6053831)
Jayme Augusto Rocha Vianna (6053834)
Renato Dichetti dos Reis Lisboa (6053837)
Felipe Andrade Medeiros (6053840)
Vital Paulino Costa (5983169)

December 2018

ROC Curves of the best MLC (RBF), CSFI, general ophthalmologists and glaucoma specialists.</p

ROC curve (Receiver Operating Characteristics) revealing the frequency of discrimination among those six groups (CG = Control Group; BAK = Glaucoma under Chronic Topical Treatment with Benzalkonium Chloride; DM = Diabetes Mellitus; GO = Graves’ Orbitopathy; GVHD = Graft versus Host Disease; SS = Sjögren’s syndrome), using six tests to investigate DED.

Denny Marcos Garcia (4053580)
Fabiola Reis de Oliveira (6038021)
Carolina Maria Módulo (5764013)
Jacqueline Faustino (567240)
Amanda Pires Barbosa (837806)
Monica Alves (567235)
Eduardo Melani Rocha (328602)

December 2018

The area under the curve (AUC) shows the percentage of correct discrimination associating sensitivit...

The ROC curve obtained from the composite dataset (n = 38) demonstrates an area under curve (AUC) of 0.80.

Hemant K. Roy (305615)
Charles B. Brendler (694853)
Hariharan Subramanian (292812)
Di Zhang (197959)
Charles Maneval (694854)
John Chandler (694855)
Leah Bowen (283348)
Karen L. Kaul (487905)
Brian T. Helfand (203249)
Chi-Hsiung Wang (694856)
Margo Quinn (694857)
Jacqueline Petkewicz (694858)
Michael Paterakos (694859)
Vadim Backman (305612)

February 2015

This translated into a sensitivity = 88% and specificity = 72% for discriminating between progres...

ROC curve modeling the sensitivity versus 1-specificity for variables diagnosing the existence of keratoconus disease (plotted only selected variables with area under the curve over 0.7).

Francisco Cavas-Martínez (646607)
Daniel G. Fernández-Pacheco (646608)
Ernesto De la Cruz-Sánchez (552895)
José Nieto Martínez (646609)
Francisco J. Fernández Cañavate (646610)
Alfredo Vega-Estrada (646611)
Ana B. Plaza-Puche (646612)
Jorge L. Alió (646613)

October 2014

ROC curve modeling the sensitivity versus 1-specificity for variables diagnosing the existence of...

ROC curve (Receiver Operating Characteristics) revealing the frequency of discrimination among the three groups regarding Sjögren’s syndrome (SS) and dry eye tests (SS1, SS2 and NSS), using four tests to investigate DED.

Denny Marcos Garcia (4053580)
Fabiola Reis de Oliveira (6038021)
Carolina Maria Módulo (5764013)
Jacqueline Faustino (567240)
Amanda Pires Barbosa (837806)
Monica Alves (567235)
Eduardo Melani Rocha (328602)

December 2018

The area under the curve (AUC) shows the percentage of correct discrimination associating sensitivit...

Summary ROC curve for the 6 included studies.

Wen Jie Wang (5983340)
Li Wei Zhang (5983343)
Shun Yi Feng (5983346)
Jie Gao (10266)
Yong Li (15029)

November 2018

Numbers in brackets are 95% CIs. AUC = area under ROC curve, SENS = sensitivity, SPEC = specificity....

Sensitivity (Se%), Specificity (Sp%) and area under the ROC curve (ROC-AUC) for the classification of SB, LPA and MVPA using EE combined with direct observation as the criterion measure.

Xanne Janssen (482215)
Dylan P. Cliff (482216)
John J. Reilly (424841)
Trina Hinkley (482217)
Rachel A. Jones (482218)
Marijka Batterham (442944)
Ulf Ekelund (115075)
Søren Brage (211618)
Anthony D. Okely (482219)

November 2013

Sensitivity (Se%), Specificity (Sp%) and area under the ROC curve (ROC-AUC) for the classificatio...

ROC curves for diagnosis of glaucoma in emmetropic eyes.

Chihiro Mayama (387325)
Tae Tsutsumi (514770)
Hitomi Saito (146978)
Ryo Asaoka (387326)
Atsuo Tomidokoro (153478)
Aiko Iwase (153482)
Shinichiro Otani (514771)
Kazunori Miyata (514772)
Makoto Araie (88258)

January 2014

AUCs of FSM or RB Discriminant Function and MRA are 0.926(95%CI: 0.878–0.974), 0.904(0.849–0.958)...

Comparison of the trade off between sensitivity and specificity.

Fermín Segovia (522986)
Christine Bastin (336079)
Eric Salmon (189351)
Juan Manuel Górriz (522987)
Javier Ramírez (522988)
Christophe Phillips (168135)

February 2014

ROC curves for the three cases analyzed: using only images, using only neuropsychological scores ...

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 ...

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...

Comparison of areas under the receiver operating characteristic curves (AUCs) between wide and standard macula scans of macular thickness parameters and between wide and standard disc scans of circumpapillary retinal nerve fiber layer (cpRNFL) thickness parameters for assessing glaucoma.

Eun Hee Hong (5066597)
Yong Un Shin (3269847)
Min Ho Kang (799905)
Heeyoon Cho (5066594)
Mincheol Seong (3269862)

April 2018

Comparison of areas under the receiver operating characteristic curves (AUCs) between wide and st...

ROC curves for the different algorithms adapted according to EULAR indications.

Luca Navarini (4576774)
Domenico Paolo Emanuele Margiotta (4576768)
Francesco Caso (5848853)
Damiano Currado (5848856)
Marco Tasso (805939)
Silvia Angeletti (703420)
Massimo Ciccozzi (76730)
Raffaele Scarpa (3448187)
Antonella Afeltra (4576780)
Luisa Costa (5848859)

October 2018

Areas under the curve (AUC)-values (95% CI) are 0.7679 (95% CI 0.64768 to 0.88812), 0.8648 (95% CI 0...

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...

Area under the ROC curve sensitivity = 77.5%, specificity = 61.3%, AUC = 0.751 with cutoff = 0.488.

Nadine Kraamwinkel (5018939)
Hans Ekbrand (6191126)
Stefania Davia (6191129)
Adel Daoud (3173796)

January 2019

Area under the ROC curve sensitivity = 77.5%, specificity = 61.3%, AUC = 0.751 with cutoff = 0.488.<...

ROC Curves of the best MLC (RBF), CSFI, general ophthalmologists and glaucoma specialists.

Leonardo Seidi Shigueoka (6053819)
José Paulo Cabral de Vasconcellos (740058)
Rui Barroso Schimiti (6053822)
Alexandre Soares Castro Reis (6053825)
Gabriel Ozeas de Oliveira (6053828)
Edson Satoshi Gomi (6053831)
Jayme Augusto Rocha Vianna (6053834)
Renato Dichetti dos Reis Lisboa (6053837)
Felipe Andrade Medeiros (6053840)
Vital Paulino Costa (5983169)

December 2018

ROC Curves of the best MLC (RBF), CSFI, general ophthalmologists and glaucoma specialists.</p

ROC curve (Receiver Operating Characteristics) revealing the frequency of discrimination among those six groups (CG = Control Group; BAK = Glaucoma under Chronic Topical Treatment with Benzalkonium Chloride; DM = Diabetes Mellitus; GO = Graves’ Orbitopathy; GVHD = Graft versus Host Disease; SS = Sjögren’s syndrome), using six tests to investigate DED.

Denny Marcos Garcia (4053580)
Fabiola Reis de Oliveira (6038021)
Carolina Maria Módulo (5764013)
Jacqueline Faustino (567240)
Amanda Pires Barbosa (837806)
Monica Alves (567235)
Eduardo Melani Rocha (328602)

December 2018

The area under the curve (AUC) shows the percentage of correct discrimination associating sensitivit...

The ROC curve obtained from the composite dataset (n = 38) demonstrates an area under curve (AUC) of 0.80.

Hemant K. Roy (305615)
Charles B. Brendler (694853)
Hariharan Subramanian (292812)
Di Zhang (197959)
Charles Maneval (694854)
John Chandler (694855)
Leah Bowen (283348)
Karen L. Kaul (487905)
Brian T. Helfand (203249)
Chi-Hsiung Wang (694856)
Margo Quinn (694857)
Jacqueline Petkewicz (694858)
Michael Paterakos (694859)
Vadim Backman (305612)

February 2015

This translated into a sensitivity = 88% and specificity = 72% for discriminating between progres...

ROC curve modeling the sensitivity versus 1-specificity for variables diagnosing the existence of keratoconus disease (plotted only selected variables with area under the curve over 0.7).

Francisco Cavas-Martínez (646607)
Daniel G. Fernández-Pacheco (646608)
Ernesto De la Cruz-Sánchez (552895)
José Nieto Martínez (646609)
Francisco J. Fernández Cañavate (646610)
Alfredo Vega-Estrada (646611)
Ana B. Plaza-Puche (646612)
Jorge L. Alió (646613)

October 2014

ROC curve modeling the sensitivity versus 1-specificity for variables diagnosing the existence of...

ROC curve (Receiver Operating Characteristics) revealing the frequency of discrimination among the three groups regarding Sjögren’s syndrome (SS) and dry eye tests (SS1, SS2 and NSS), using four tests to investigate DED.

Denny Marcos Garcia (4053580)
Fabiola Reis de Oliveira (6038021)
Carolina Maria Módulo (5764013)
Jacqueline Faustino (567240)
Amanda Pires Barbosa (837806)
Monica Alves (567235)
Eduardo Melani Rocha (328602)

December 2018

The area under the curve (AUC) shows the percentage of correct discrimination associating sensitivit...

Summary ROC curve for the 6 included studies.

Wen Jie Wang (5983340)
Li Wei Zhang (5983343)
Shun Yi Feng (5983346)
Jie Gao (10266)
Yong Li (15029)

November 2018

Numbers in brackets are 95% CIs. AUC = area under ROC curve, SENS = sensitivity, SPEC = specificity....

Sensitivity (Se%), Specificity (Sp%) and area under the ROC curve (ROC-AUC) for the classification of SB, LPA and MVPA using EE combined with direct observation as the criterion measure.

Xanne Janssen (482215)
Dylan P. Cliff (482216)
John J. Reilly (424841)
Trina Hinkley (482217)
Rachel A. Jones (482218)
Marijka Batterham (442944)
Ulf Ekelund (115075)
Søren Brage (211618)
Anthony D. Okely (482219)

November 2013

Sensitivity (Se%), Specificity (Sp%) and area under the ROC curve (ROC-AUC) for the classificatio...

ROC curves for diagnosis of glaucoma in emmetropic eyes.

Chihiro Mayama (387325)
Tae Tsutsumi (514770)
Hitomi Saito (146978)
Ryo Asaoka (387326)
Atsuo Tomidokoro (153478)
Aiko Iwase (153482)
Shinichiro Otani (514771)
Kazunori Miyata (514772)
Makoto Araie (88258)

January 2014

AUCs of FSM or RB Discriminant Function and MRA are 0.926(95%CI: 0.878–0.974), 0.904(0.849–0.958)...

Comparison of the trade off between sensitivity and specificity.

Fermín Segovia (522986)
Christine Bastin (336079)
Eric Salmon (189351)
Juan Manuel Górriz (522987)
Javier Ramírez (522988)
Christophe Phillips (168135)

February 2014

ROC curves for the three cases analyzed: using only images, using only neuropsychological scores ...

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 ...

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...

Comparison of areas under the receiver operating characteristic curves (AUCs) between wide and standard macula scans of macular thickness parameters and between wide and standard disc scans of circumpapillary retinal nerve fiber layer (cpRNFL) thickness parameters for assessing glaucoma.

Eun Hee Hong (5066597)
Yong Un Shin (3269847)
Min Ho Kang (799905)
Heeyoon Cho (5066594)
Mincheol Seong (3269862)

April 2018

Comparison of areas under the receiver operating characteristic curves (AUCs) between wide and st...

ROC curves for the different algorithms adapted according to EULAR indications.

Luca Navarini (4576774)
Domenico Paolo Emanuele Margiotta (4576768)
Francesco Caso (5848853)
Damiano Currado (5848856)
Marco Tasso (805939)
Silvia Angeletti (703420)
Massimo Ciccozzi (76730)
Raffaele Scarpa (3448187)
Antonella Afeltra (4576780)
Luisa Costa (5848859)

October 2018

Areas under the curve (AUC)-values (95% CI) are 0.7679 (95% CI 0.64768 to 0.88812), 0.8648 (95% CI 0...

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...

Areas under ROC curve (AUC) and sensitivities (%) at fixed specificities of 80% and 90% obtained with SD-OCT and SAP data using MLCs, CSFI, glaucoma specialists and general ophthalmologists.

Abstract

Extracted data

Areas under ROC curve (AUC) and sensitivities (%) at fixed specificities of 80% and 90% obtained with SD-OCT and SAP data using MLCs, CSFI, glaucoma specialists and general ophthalmologists.

Abstract

Extracted data

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