Results of ROC curves for internal and external validation in males and females.

ROC curves for determining the sensitivity and specificity of the overall assessment of the PHD-PD scale.

Roger Muñoz-Navarro (2951745)
Antonio Cano-Vindel (2951739)
Cristina Mae Wood (2951724)
Paloma Ruíz-Rodríguez (2951742)
Leonardo Adrián Medrano (2951721)
Joaquín T Limonero (842283)
Patricia Tomás-Tomás (2951730)
Irene Gracia-Gracia (2951736)
Esperanza Dongil-Collado (2951733)
M. Iciar Iruarrizaga (2951727)

August 2016

ROC curves for determining the sensitivity and specificity of the overall assessment of the PHD-P...

ROC curves for functional decline in function of different cut points of handgrip strength of male subjects.

Carmen García-Peña (437707)
Luis C. García-Fabela (437708)
Luis M. Gutiérrez-Robledo (437709)
Jose J. García-González (437710)
Victoria E. Arango-Lopera (437711)
Mario U. Pérez-Zepeda (437712)

July 2013

ROC curves for functional decline in function of different cut points of handgrip strength of mal...

ROC curves of the PR (a) and CR (b) model for the best and worst training (solid) and the validation set (dashed).

Remy Klaassen (3903154)
Ruben T. H. M. Larue (4421839)
Banafsche Mearadji (5979446)
Stephanie O. van der Woude (5979449)
Jaap Stoker (34500)
Philippe Lambin (19883)
Hanneke W. M. van Laarhoven (457158)

November 2018

ROC curves of the PR (a) and CR (b) model for the best and worst training (solid) and the validation...

ROC curve summarizing the performance of the scoring system during development and external validation.

Charles Abongomera (802694)
Koert Ritmeijer (123652)
Florian Vogt (756416)
Jozefien Buyze (413929)
Zelalem Mekonnen (4068607)
Henok Admassu (4068604)
Robert Colebunders (10697)
Rezika Mohammed (567646)
Lutgarde Lynen (300843)
Ermias Diro (276580)
Johan van Griensven (333866)

June 2017

ROC curve summarizing the performance of the scoring system during development and external valid...

ROC curves for women from all cut-off values for both AUDIT-C and AUDIT-3.

Puja Seth (709039)
Mary Glenshaw (709040)
Jennifer H. F. Sabatier (709041)
René Adams (709042)
Verona Du Preez (709043)
Nickolas DeLuca (709044)
Naomi Bock (338509)

March 2015

ROC curves for women from all cut-off values for both AUDIT-C and AUDIT-3.</p

ROC curves visualizing correct identification of HCM among male and female subjects, p values represent the difference in diagnostic performance between conventional and threshold-based quantification methods.

Csilla Czimbalmos (3899374)
Ibolya Csecs (4411357)
Attila Toth (243846)
Orsolya Kiss (6335438)
Ferenc Imre Suhai (6335441)
Nora Sydo (6335444)
Zsofia Dohy (6335447)
Astrid Apor (839791)
Bela Merkely (545484)
Hajnalka Vago (4411354)

February 2019

ROC curves visualizing correct identification of HCM among male and female subjects, p values repres...

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 (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...

ROC curves of model 1, A, consisting of symptoms.

Manon G. van der Meer (684116)
Barbra E. Backus (684117)
Yolanda van der Graaf (170406)
Maarten J. Cramer (684118)
Yolande Appelman (684119)
Pieter A. Doevendans (137859)
A. Jacob Six (684120)
Hendrik M. Nathoe (398187)

January 2015

The black line describes the diagnostic value in men and the red line the diagnostic value in wom...

ROC curve analysis for BMI in men. Figure 3b. ROC curve analysis for BMI in women.

Angel A. López (327097)
Mey L. Cespedes (327098)
Teofila Vicente (327099)
Matias Tomas (327100)
Miguel Bennasar-Veny (327101)
Pedro Tauler (327102)
Antoni Aguilo (327104)

February 2013

ROC curve analysis for BMI in men. Figure 3b. ROC curve analysis for BMI in women.</p

The ROC curves of the RF and SVM in four independent external validations for (a) Model I, (b) Model II, (c) Model III and (d) Model IV.

Hua Yu (138267)
Jianxin Chen (161391)
Xue Xu (138262)
Yan Li (23143)
Huihui Zhao (161399)
Yupeng Fang (161402)
Xiuxiu Li (138260)
Wei Zhou (24328)
Wei Wang (17594)
Yonghua Wang (138282)

May 2012

The ROC curves of the RF and SVM in four independent external validations for (a) Model I, (b) Mo...

The ROC curves of the RF and SVM in internal five-fold cross validation for (a) Model I, (b) Model II, (c) Model III and (d) Model IV.

Hua Yu (138267)
Jianxin Chen (161391)
Xue Xu (138262)
Yan Li (23143)
Huihui Zhao (161399)
Yupeng Fang (161402)
Xiuxiu Li (138260)
Wei Zhou (24328)
Wei Wang (17594)
Yonghua Wang (138282)

May 2012

The ROC curves of the RF and SVM in internal five-fold cross validation for (a) Model I, (b) Mode...

5 × 5-fold cross-validation results: Mean ROC curves and AUC scores (95% C.I.).

Julia Diaz-Escobar (11272958)
Nelson E. Ordóñez-Guillén (11272961)
Salvador Villarreal-Reyes (7203815)
Alejandro Galaviz-Mosqueda (11272964)
Vitaly Kober (11272967)
Raúl Rivera-Rodriguez (11272970)
Jose E. Lozano Rizk (11272973)

August 2021

5 × 5-fold cross-validation results: Mean ROC curves and AUC scores (95% C.I.).</p

The two ROC curves.

J. Vandermeulen (732012)
C. Bahr (732013)
E. Tullo (732014)
I. Fontana (732015)
S. Ott (732016)
M. Kashiha (732017)
M. Guarino (732018)
C. P. H. Moons (732019)
F. A. M. Tuyttens (732020)
T. A. Niewold (732021)
D. Berckmans (732022)

April 2015

They showing the True and False positive Rates (TPR and FPR). The numbers on the plots give the m...

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 curves for determining the sensitivity and specificity of the overall assessment of the PHD-PD scale.

Roger Muñoz-Navarro (2951745)
Antonio Cano-Vindel (2951739)
Cristina Mae Wood (2951724)
Paloma Ruíz-Rodríguez (2951742)
Leonardo Adrián Medrano (2951721)
Joaquín T Limonero (842283)
Patricia Tomás-Tomás (2951730)
Irene Gracia-Gracia (2951736)
Esperanza Dongil-Collado (2951733)
M. Iciar Iruarrizaga (2951727)

August 2016

ROC curves for determining the sensitivity and specificity of the overall assessment of the PHD-P...

ROC curves for functional decline in function of different cut points of handgrip strength of male subjects.

Carmen García-Peña (437707)
Luis C. García-Fabela (437708)
Luis M. Gutiérrez-Robledo (437709)
Jose J. García-González (437710)
Victoria E. Arango-Lopera (437711)
Mario U. Pérez-Zepeda (437712)

July 2013

ROC curves for functional decline in function of different cut points of handgrip strength of mal...

ROC curves of the PR (a) and CR (b) model for the best and worst training (solid) and the validation set (dashed).

Remy Klaassen (3903154)
Ruben T. H. M. Larue (4421839)
Banafsche Mearadji (5979446)
Stephanie O. van der Woude (5979449)
Jaap Stoker (34500)
Philippe Lambin (19883)
Hanneke W. M. van Laarhoven (457158)

November 2018

ROC curves of the PR (a) and CR (b) model for the best and worst training (solid) and the validation...

ROC curve summarizing the performance of the scoring system during development and external validation.

Charles Abongomera (802694)
Koert Ritmeijer (123652)
Florian Vogt (756416)
Jozefien Buyze (413929)
Zelalem Mekonnen (4068607)
Henok Admassu (4068604)
Robert Colebunders (10697)
Rezika Mohammed (567646)
Lutgarde Lynen (300843)
Ermias Diro (276580)
Johan van Griensven (333866)

June 2017

ROC curve summarizing the performance of the scoring system during development and external valid...

ROC curves for women from all cut-off values for both AUDIT-C and AUDIT-3.

Puja Seth (709039)
Mary Glenshaw (709040)
Jennifer H. F. Sabatier (709041)
René Adams (709042)
Verona Du Preez (709043)
Nickolas DeLuca (709044)
Naomi Bock (338509)

March 2015

ROC curves for women from all cut-off values for both AUDIT-C and AUDIT-3.</p

ROC curves visualizing correct identification of HCM among male and female subjects, p values represent the difference in diagnostic performance between conventional and threshold-based quantification methods.

Csilla Czimbalmos (3899374)
Ibolya Csecs (4411357)
Attila Toth (243846)
Orsolya Kiss (6335438)
Ferenc Imre Suhai (6335441)
Nora Sydo (6335444)
Zsofia Dohy (6335447)
Astrid Apor (839791)
Bela Merkely (545484)
Hajnalka Vago (4411354)

February 2019

ROC curves visualizing correct identification of HCM among male and female subjects, p values repres...

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 (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...

ROC curves of model 1, A, consisting of symptoms.

Manon G. van der Meer (684116)
Barbra E. Backus (684117)
Yolanda van der Graaf (170406)
Maarten J. Cramer (684118)
Yolande Appelman (684119)
Pieter A. Doevendans (137859)
A. Jacob Six (684120)
Hendrik M. Nathoe (398187)

January 2015

The black line describes the diagnostic value in men and the red line the diagnostic value in wom...

ROC curve analysis for BMI in men. Figure 3b. ROC curve analysis for BMI in women.

Angel A. López (327097)
Mey L. Cespedes (327098)
Teofila Vicente (327099)
Matias Tomas (327100)
Miguel Bennasar-Veny (327101)
Pedro Tauler (327102)
Antoni Aguilo (327104)

February 2013

ROC curve analysis for BMI in men. Figure 3b. ROC curve analysis for BMI in women.</p

The ROC curves of the RF and SVM in four independent external validations for (a) Model I, (b) Model II, (c) Model III and (d) Model IV.

Hua Yu (138267)
Jianxin Chen (161391)
Xue Xu (138262)
Yan Li (23143)
Huihui Zhao (161399)
Yupeng Fang (161402)
Xiuxiu Li (138260)
Wei Zhou (24328)
Wei Wang (17594)
Yonghua Wang (138282)

May 2012

The ROC curves of the RF and SVM in four independent external validations for (a) Model I, (b) Mo...

The ROC curves of the RF and SVM in internal five-fold cross validation for (a) Model I, (b) Model II, (c) Model III and (d) Model IV.

Hua Yu (138267)
Jianxin Chen (161391)
Xue Xu (138262)
Yan Li (23143)
Huihui Zhao (161399)
Yupeng Fang (161402)
Xiuxiu Li (138260)
Wei Zhou (24328)
Wei Wang (17594)
Yonghua Wang (138282)

May 2012

The ROC curves of the RF and SVM in internal five-fold cross validation for (a) Model I, (b) Mode...

5 × 5-fold cross-validation results: Mean ROC curves and AUC scores (95% C.I.).

Julia Diaz-Escobar (11272958)
Nelson E. Ordóñez-Guillén (11272961)
Salvador Villarreal-Reyes (7203815)
Alejandro Galaviz-Mosqueda (11272964)
Vitaly Kober (11272967)
Raúl Rivera-Rodriguez (11272970)
Jose E. Lozano Rizk (11272973)

August 2021

5 × 5-fold cross-validation results: Mean ROC curves and AUC scores (95% C.I.).</p

The two ROC curves.

J. Vandermeulen (732012)
C. Bahr (732013)
E. Tullo (732014)
I. Fontana (732015)
S. Ott (732016)
M. Kashiha (732017)
M. Guarino (732018)
C. P. H. Moons (732019)
F. A. M. Tuyttens (732020)
T. A. Niewold (732021)
D. Berckmans (732022)

April 2015

They showing the True and False positive Rates (TPR and FPR). The numbers on the plots give the m...

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 curves for determining the sensitivity and specificity of the overall assessment of the PHD-PD scale.

Roger Muñoz-Navarro (2951745)
Antonio Cano-Vindel (2951739)
Cristina Mae Wood (2951724)
Paloma Ruíz-Rodríguez (2951742)
Leonardo Adrián Medrano (2951721)
Joaquín T Limonero (842283)
Patricia Tomás-Tomás (2951730)
Irene Gracia-Gracia (2951736)
Esperanza Dongil-Collado (2951733)
M. Iciar Iruarrizaga (2951727)

August 2016

ROC curves for determining the sensitivity and specificity of the overall assessment of the PHD-P...

ROC curves for functional decline in function of different cut points of handgrip strength of male subjects.

Carmen García-Peña (437707)
Luis C. García-Fabela (437708)
Luis M. Gutiérrez-Robledo (437709)
Jose J. García-González (437710)
Victoria E. Arango-Lopera (437711)
Mario U. Pérez-Zepeda (437712)

July 2013

ROC curves for functional decline in function of different cut points of handgrip strength of mal...

ROC curves of the PR (a) and CR (b) model for the best and worst training (solid) and the validation set (dashed).

Remy Klaassen (3903154)
Ruben T. H. M. Larue (4421839)
Banafsche Mearadji (5979446)
Stephanie O. van der Woude (5979449)
Jaap Stoker (34500)
Philippe Lambin (19883)
Hanneke W. M. van Laarhoven (457158)

November 2018

ROC curves of the PR (a) and CR (b) model for the best and worst training (solid) and the validation...

Results of ROC curves for internal and external validation in males and females.

Abstract

Extracted data

Results of ROC curves for internal and external validation in males and females.

Abstract

Extracted data

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