ROC curves for predicting adverse event.

ROC curves constructed with the logistic regression model and frequency table for discrimination between survivor and non-survivor patients in predicting 30-days mortality.

Monica Garcia-Simon (826061)
Jose M. Morales (826062)
Vicente Modesto-Alapont (826063)
Vannina Gonzalez-Marrachelli (826064)
Rosa Vento-Rehues (826065)
Angela Jorda-Miñana (826066)
Jose Blanquer-Olivas (826067)
Daniel Monleon (339568)

November 2015

(A) ROC curve based on the metabolomics scores evolution values (AUC 0.85; p<0.05, 95% CI 0.68–1)...

ROC curve illustrating the area under the curve for disorder strength and cancer prediction.

Richard Kalman (5233475)
Andrew Stawarz (5233484)
David Nunes (3716305)
Di Zhang (197959)
Mart A. Dela Cruz (5233481)
Arpan Mohanty (5233478)
Hariharan Subramanian (292812)
Vadim Backman (305612)
Hemant K. Roy (305615)

May 2018

ROC curve illustrating the area under the curve for disorder strength and cancer prediction.</p

ROC curve analysis of global longitudinal strain and ALPM free strain for prediction of high SCD risk score.

Atilla Koyuncu (14675395)
Cennet Yildiz (14675398)
Lutfu Ocal (14675401)
Sedat Kalkan (14675404)
Alev Kılıçgedik (14675407)
Mustafa Ozan Gürsoy (14675410)
Ersan Oflar (8185005)
Gökhan Kahveci (14675413)

February 2023

ROC curve analysis of global longitudinal strain and ALPM free strain for prediction of high SCD ris...

ROC curves for predicting 90-day mortality.

Susana Gordo-Remartínez (748107)
María Calderón-Moreno (748108)
Juan Fernández-Herranz (748109)
Ana Castuera-Gil (748110)
Mar Gallego-Alonso-Colmenares (748111)
Carolina Puertas-López (748112)
José A. Nuevo-González (748113)
Domingo Sánchez-Sendín (748114)
Mercedes García-Gámiz (748115)
José A. Sevillano-Fernández (748116)
Luis A. Álvarez-Sala (748117)
Juan A. Andueza-Lillo (748118)
José M. de Miguel-Yanes (748119)

June 2015

Fig 5a. ROC curves for different biomarkers and PSI. Fig 5b. ROC curves for the PSI & MR-proADM 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 curves of the clinical, ECG and combined specific risk models for SCD and PFD classification.

Julia Ramírez (4506787)
Michele Orini (3097818)
Ana Mincholé (4506796)
Violeta Monasterio (4506790)
Iwona Cygankiewicz (4506793)
Antonio Bayés de Luna (4506784)
Juan Pablo Martínez (3623312)
Pablo Laguna (651770)
Esther Pueyo (621869)

October 2017

ROC curves and AUCs for the clinical (solid blue), ECG (dashed red), and combined (dotted black) ...

ROC curves for cardiovascular morbidity and mortality.

Petra G. van Peet (488489)
Yvonne M. Drewes (488490)
Anton J. M. de Craen (188398)
Jacobijn Gussekloo (18044)
Wouter de Ruijter (293035)

November 2013

ROC curves for cardiovascular morbidity and mortality of three models: traditional risk markers (...

ROC curve analysis for predictive biomarkers.

Patricia Sikorski (1320966)
Yaoxiang Li (10706925)
Mehar Cheema (17124826)
Gil I. Wolfe (5391011)
Linda L. Kusner (17124829)
Inmaculada Aban (551888)
Henry J. Kaminski (11627869)

October 2023

ROC curve analysis (sensitivity on y-axis and specificity on x-axis) for all subjects (A) training s...

ROC curve for predictive value of cytokines for GNB in patients with sepsis or intracranial infection.

Qing Ye (90197)
Wen-Xia Shao (571129)
Xiao-Jun Xu (571130)
Ying-zhi Yang (571131)

June 2014

ROC curve for predictive value of cytokines for GNB in patients with sepsis or intracranial infec...

ROC curves for prediction models.

Guy Witberg (6335546)
Ygal Plakht (6236060)
Tamir Bental (800113)
Becca S. Feldman (635241)
Maya Leventer-Roberts (4232806)
Amos Levi (4031684)
Hagit Gabay (6335549)
Ran Balicer (4232812)
Yariv Gerber (686409)
Ran Kornowski (540888)

February 2019

ROC curves and c-statistics of the ischaemic (left) and bleeding (right) prediction models.</p

ROC curve analysis of each baseline parameter and prediction of hyperbilirubinemia.

Hironao Okubo (5154833)
Hitoshi Ando (307066)
Yushi Sorin (5154836)
Eisuke Nakadera (5154830)
Hiroo Fukada (5154824)
Junichi Morishige (5154827)
Akihisa Miyazaki (5154821)
Kenichi Ikejima (92830)

April 2018

ROC curve analysis of each baseline parameter and prediction of hyperbilirubinemia.</p

Estimation of predictive power of possible biomarkers using ROC curve analysis.

Éva Csősz (3165384)
Péter Lábiscsák (4033430)
Gergő Kalló (3165381)
Bernadett Márkus (4033424)
Miklós Emri (3165375)
Adrienn Szabó (4033436)
Ildikó Tar (4033421)
József Tőzsér (665273)
Csongor Kiss (4033433)
Ildikó Márton (4033427)

May 2017

The sensitivity (y axis) was plotted versus 1−specificity (x axis) in case of each potential biom...

Comparison of ROC curves for prediction of CV events between BNP, CHADS2 and CHADS2-VASc in subjects with AF.

Motoyuki Nakamura (491867)
Yorihiko Koeda (491868)
Fumitaka Tanaka (491869)
Toshiyuki Onoda (491870)
Kazuyoshi Itai (491871)
Masaki Ohsawa (491872)
Kozo Tanno (491873)
Kiyomi Sakata (491874)
Shinich Omama (491875)
Yasuhiro Ishibashi (491876)
Shinji Makita (491877)
Mutsuko Ohta (491878)
Kuniaki Ogasawara (491879)
Takashi Komatsu (491880)
Akira Okayama (486990)

December 2013

Comparison of ROC curves for prediction of CV events between BNP, CHADS2 and CHADS2-VASc in subje...

Comparison between ROC curves for RHF-related death prediction according to each significant characteristic with full model.

Alexandra Grosse (5571224)
Claudia Grosse (5571227)
Irene Lang (625943)

July 2018

Comparison between ROC curves for RHF-related death prediction according to each significant char...

Receiver operating characteristic (ROC) curves.

Kun Wang (134525)
Vineet Bhandari (202737)
Sofya Chepustanova (498901)
Greg Huber (79677)
Stephen O′Hara (498902)
Corey S. O′Hern (498903)
Mark D. Shattuck (498904)
Michael Kirby (498905)

December 2013

ROC curves of TPR versus FPR for optimal sets of biomarkers where averaged over SSVM models. T...

ROC curves constructed with the logistic regression model and frequency table for discrimination between survivor and non-survivor patients in predicting 30-days mortality.

Monica Garcia-Simon (826061)
Jose M. Morales (826062)
Vicente Modesto-Alapont (826063)
Vannina Gonzalez-Marrachelli (826064)
Rosa Vento-Rehues (826065)
Angela Jorda-Miñana (826066)
Jose Blanquer-Olivas (826067)
Daniel Monleon (339568)

November 2015

(A) ROC curve based on the metabolomics scores evolution values (AUC 0.85; p<0.05, 95% CI 0.68–1)...

ROC curve illustrating the area under the curve for disorder strength and cancer prediction.

Richard Kalman (5233475)
Andrew Stawarz (5233484)
David Nunes (3716305)
Di Zhang (197959)
Mart A. Dela Cruz (5233481)
Arpan Mohanty (5233478)
Hariharan Subramanian (292812)
Vadim Backman (305612)
Hemant K. Roy (305615)

May 2018

ROC curve illustrating the area under the curve for disorder strength and cancer prediction.</p

ROC curve analysis of global longitudinal strain and ALPM free strain for prediction of high SCD risk score.

Atilla Koyuncu (14675395)
Cennet Yildiz (14675398)
Lutfu Ocal (14675401)
Sedat Kalkan (14675404)
Alev Kılıçgedik (14675407)
Mustafa Ozan Gürsoy (14675410)
Ersan Oflar (8185005)
Gökhan Kahveci (14675413)

February 2023

ROC curve analysis of global longitudinal strain and ALPM free strain for prediction of high SCD ris...

ROC curves for predicting 90-day mortality.

Susana Gordo-Remartínez (748107)
María Calderón-Moreno (748108)
Juan Fernández-Herranz (748109)
Ana Castuera-Gil (748110)
Mar Gallego-Alonso-Colmenares (748111)
Carolina Puertas-López (748112)
José A. Nuevo-González (748113)
Domingo Sánchez-Sendín (748114)
Mercedes García-Gámiz (748115)
José A. Sevillano-Fernández (748116)
Luis A. Álvarez-Sala (748117)
Juan A. Andueza-Lillo (748118)
José M. de Miguel-Yanes (748119)

June 2015

Fig 5a. ROC curves for different biomarkers and PSI. Fig 5b. ROC curves for the PSI & MR-proADM 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 curves of the clinical, ECG and combined specific risk models for SCD and PFD classification.

Julia Ramírez (4506787)
Michele Orini (3097818)
Ana Mincholé (4506796)
Violeta Monasterio (4506790)
Iwona Cygankiewicz (4506793)
Antonio Bayés de Luna (4506784)
Juan Pablo Martínez (3623312)
Pablo Laguna (651770)
Esther Pueyo (621869)

October 2017

ROC curves and AUCs for the clinical (solid blue), ECG (dashed red), and combined (dotted black) ...

ROC curves for cardiovascular morbidity and mortality.

Petra G. van Peet (488489)
Yvonne M. Drewes (488490)
Anton J. M. de Craen (188398)
Jacobijn Gussekloo (18044)
Wouter de Ruijter (293035)

November 2013

ROC curves for cardiovascular morbidity and mortality of three models: traditional risk markers (...

ROC curve analysis for predictive biomarkers.

Patricia Sikorski (1320966)
Yaoxiang Li (10706925)
Mehar Cheema (17124826)
Gil I. Wolfe (5391011)
Linda L. Kusner (17124829)
Inmaculada Aban (551888)
Henry J. Kaminski (11627869)

October 2023

ROC curve analysis (sensitivity on y-axis and specificity on x-axis) for all subjects (A) training s...

ROC curve for predictive value of cytokines for GNB in patients with sepsis or intracranial infection.

Qing Ye (90197)
Wen-Xia Shao (571129)
Xiao-Jun Xu (571130)
Ying-zhi Yang (571131)

June 2014

ROC curve for predictive value of cytokines for GNB in patients with sepsis or intracranial infec...

ROC curves for prediction models.

Guy Witberg (6335546)
Ygal Plakht (6236060)
Tamir Bental (800113)
Becca S. Feldman (635241)
Maya Leventer-Roberts (4232806)
Amos Levi (4031684)
Hagit Gabay (6335549)
Ran Balicer (4232812)
Yariv Gerber (686409)
Ran Kornowski (540888)

February 2019

ROC curves and c-statistics of the ischaemic (left) and bleeding (right) prediction models.</p

ROC curve analysis of each baseline parameter and prediction of hyperbilirubinemia.

Hironao Okubo (5154833)
Hitoshi Ando (307066)
Yushi Sorin (5154836)
Eisuke Nakadera (5154830)
Hiroo Fukada (5154824)
Junichi Morishige (5154827)
Akihisa Miyazaki (5154821)
Kenichi Ikejima (92830)

April 2018

ROC curve analysis of each baseline parameter and prediction of hyperbilirubinemia.</p

Estimation of predictive power of possible biomarkers using ROC curve analysis.

Éva Csősz (3165384)
Péter Lábiscsák (4033430)
Gergő Kalló (3165381)
Bernadett Márkus (4033424)
Miklós Emri (3165375)
Adrienn Szabó (4033436)
Ildikó Tar (4033421)
József Tőzsér (665273)
Csongor Kiss (4033433)
Ildikó Márton (4033427)

May 2017

The sensitivity (y axis) was plotted versus 1−specificity (x axis) in case of each potential biom...

Comparison of ROC curves for prediction of CV events between BNP, CHADS2 and CHADS2-VASc in subjects with AF.

Motoyuki Nakamura (491867)
Yorihiko Koeda (491868)
Fumitaka Tanaka (491869)
Toshiyuki Onoda (491870)
Kazuyoshi Itai (491871)
Masaki Ohsawa (491872)
Kozo Tanno (491873)
Kiyomi Sakata (491874)
Shinich Omama (491875)
Yasuhiro Ishibashi (491876)
Shinji Makita (491877)
Mutsuko Ohta (491878)
Kuniaki Ogasawara (491879)
Takashi Komatsu (491880)
Akira Okayama (486990)

December 2013

Comparison of ROC curves for prediction of CV events between BNP, CHADS2 and CHADS2-VASc in subje...

Comparison between ROC curves for RHF-related death prediction according to each significant characteristic with full model.

Alexandra Grosse (5571224)
Claudia Grosse (5571227)
Irene Lang (625943)

July 2018

Comparison between ROC curves for RHF-related death prediction according to each significant char...

Receiver operating characteristic (ROC) curves.

Kun Wang (134525)
Vineet Bhandari (202737)
Sofya Chepustanova (498901)
Greg Huber (79677)
Stephen O′Hara (498902)
Corey S. O′Hern (498903)
Mark D. Shattuck (498904)
Michael Kirby (498905)

December 2013

ROC curves of TPR versus FPR for optimal sets of biomarkers where averaged over SSVM models. T...

ROC curves constructed with the logistic regression model and frequency table for discrimination between survivor and non-survivor patients in predicting 30-days mortality.

Monica Garcia-Simon (826061)
Jose M. Morales (826062)
Vicente Modesto-Alapont (826063)
Vannina Gonzalez-Marrachelli (826064)
Rosa Vento-Rehues (826065)
Angela Jorda-Miñana (826066)
Jose Blanquer-Olivas (826067)
Daniel Monleon (339568)

November 2015

(A) ROC curve based on the metabolomics scores evolution values (AUC 0.85; p<0.05, 95% CI 0.68–1)...

ROC curve illustrating the area under the curve for disorder strength and cancer prediction.

Richard Kalman (5233475)
Andrew Stawarz (5233484)
David Nunes (3716305)
Di Zhang (197959)
Mart A. Dela Cruz (5233481)
Arpan Mohanty (5233478)
Hariharan Subramanian (292812)
Vadim Backman (305612)
Hemant K. Roy (305615)

May 2018

ROC curve illustrating the area under the curve for disorder strength and cancer prediction.</p

ROC curve analysis of global longitudinal strain and ALPM free strain for prediction of high SCD risk score.

Atilla Koyuncu (14675395)
Cennet Yildiz (14675398)
Lutfu Ocal (14675401)
Sedat Kalkan (14675404)
Alev Kılıçgedik (14675407)
Mustafa Ozan Gürsoy (14675410)
Ersan Oflar (8185005)
Gökhan Kahveci (14675413)

February 2023

ROC curve analysis of global longitudinal strain and ALPM free strain for prediction of high SCD ris...

ROC curves for predicting adverse event.

Abstract

Extracted data

Topics

ROC curves for predicting adverse event.

Abstract

Extracted data

Topics

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