ROC curves for predicting 90-day mortality.

ROC curves of 3 predictive models of survival for the study cohort: Protein biomarkers and conventional pathologic features (——, MUC1, MUC2, MSLN, lymph node status, resection margin status, tumor differentiation); protein biomarkers only (------, MUC1, MUC2, MSLN); conventional pathologic features only (……, lymph node status, resection margin status, tumor differentiation, size).

Jordan M. Winter (316765)
Laura H. Tang (316766)
David S. Klimstra (316768)
Murray F. Brennan (316770)
Jonathan R. Brody (236454)
Flavio G. Rocha (316771)
Xiaoyu Jia (316772)
Li-Xuan Qin (14532)
Michael I. D’Angelica (316773)
Ronald P. DeMatteo (92937)
Yuman Fong (266390)
William R. Jarnagin (316774)
Eileen M. O’Reilly (316775)
Peter J. Allen (316776)

February 2013

Values along the indicated diagonal line (line of no-discrimination) reflect a random gues...

ROC curves for the LR, SVM, DT, NB, and ANN models in predicting the mortality of patients with isolated moderate and severe TBI.

Cheng-Shyuan Rau (478107)
Pao-Jen Kuo (3448835)
Peng-Chen Chien (4582963)
Chun-Ying Huang (4372900)
Hsiao-Yun Hsieh (3448832)
Ching-Hua Hsieh (478112)

November 2018

ROC curves for the LR, SVM, DT, NB, and ANN models in predicting the mortality of patients with isol...

AUC of ROC curve for the prediction of mortality at the time of CRRT application.

Jaechul Yoon (4474429)
Youngmin Kim (1285281)
Dohern Kym (4474441)
Jun Hur (4474438)
Haejun Yim (4474435)
Yong-Suk Cho (4635190)
Wook Chun (2572129)

November 2017

AUC of ROC curve for the prediction of mortality at the time of CRRT application.</p

ROC curves for predicting adverse event.

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 3a. ROC curves for different biomarkers and PSI. Fig 3b. ROC curves for the PSI & MR-proADM p...

ROC curves for models of 90-day mortality after THR with base model, ASA grade and the 4 comorbidity indices derived using conditions recorded at the time of the primary, including age and gender.

Chris M. Penfold (11268914)
Michael R. Whitehouse (8788745)
Ashley W. Blom (7775771)
Andrew Judge (3469271)
J. Mark Wilkinson (11268917)
Adrian Sayers (149481)

August 2021

ROC curves for models of 90-day mortality after THR with base model, ASA grade and the 4 comorbidity...

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)...

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...

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 Curves for the Prediction of Death for the WH Indicators (WH% and WHZ) for the WHO Growth Standards and the NCHS Standards

Nathanael Lapidus (343063)
Francisco J Luquero (374278)
Valérie Gaboulaud (374280)
Susan Shepherd (297316)
Rebecca F Grais (31614)

February 2013

ROC Curves for the Prediction of Death for the WH Indicators (WH% and WHZ) for the WHO Growth Sta...

Comparison of ROC curves in predicting the 30-day mortality by GCS, ICH scores, ICH size, and ICH shape.

Chih-Wei Wang (130237)
Yi-Jui Liu (599004)
Yi-Hsiung Lee (599005)
Dueng-Yuan Hueng (383957)
Hueng-Chuen Fan (599006)
Fu-Chi Yang (599007)
Chun-Jen Hsueh (599008)
Hung-Wen Kao (599009)
Chun-Jung Juan (599010)
Hsian-He Hsu (526787)

July 2014

Comparison of ROC curves in predicting the 30-day mortality by GCS, ICH scores, ICH size, and ICH...

Prediction of death from baseline measurements.

Samuel Nyamweya (308244)
John Townend (118565)
Akram Zaman (308245)
Sarah Jane Steele (308246)
David Jeffries (46007)
Sarah Rowland-Jones (74678)
Hilton Whittle (94688)
Katie L. Flanagan (90853)
Assan Jaye (224735)

February 2013

ROC curves for prediction of death within 5 years from baseline measurements of CD4% and the biom...

ROC curve regarding the prediction of mortality provided by first EVLW, last EVLW, APACHE-II and regression model combining first EVLW, last EVLW and APACHE-II.

Wolfgang Huber (6335)
Josef Höllthaler (610282)
Tibor Schuster (204000)
Andreas Umgelter (46940)
Michael Franzen (46942)
Bernd Saugel (610283)
Colin Cordemans (610284)
Roland M. Schmid (130086)
Manu L. N. G. Malbrain (610285)

August 2014

ROC curve regarding the prediction of mortality provided by first EVLW, last EVLW, APACHE-II and ...

Area under the ROC curves (higher better, lines represent 95% CIs) and IPA scores (higher better) for models of 90-day mortality after KR with ASA grade and the 4 comorbidity indices for all time frames, including age and gender.

Chris M. Penfold (11268914)
Michael R. Whitehouse (8788745)
Ashley W. Blom (7775771)
Andrew Judge (3469271)
J. Mark Wilkinson (11268917)
Adrian Sayers (149481)

August 2021

Area under the ROC curves (higher better, lines represent 95% CIs) and IPA scores (higher better) fo...

ROC curves for the mortality prediction by dichotomized YKL-40 and dichotomized AFP.

Cheng-Bao Zhu (308611)
Can Wang (157994)
Li-Li Chen (308612)
Guo-Liang Ma (308613)
Shi-Cai Zhang (308614)
Liang Su (308615)
Jian-Jun Tian (308616)
Zhong-Tao Gai (308617)

February 2013

The area under the curve was 0.629 for YKL-40, 0.569 for AFP and 0.652 for the combined YKL-40 an...

ROC curve for predicted mortality from GRACE risk alone and combination of GRACE risk with previous stroke and previous hospital admissions.

Stephen Fenning (326021)
Rebecca Woolcock (326022)
Kristin Haga (326023)
Javaid Iqbal (326024)
Keith A. Fox (326025)
Scott A. Murray (125258)
Martin A. Denvir (326026)

February 2013

ROC curve for predicted mortality from GRACE risk alone and combination of GRACE risk with previo...

ROC curves of 3 predictive models of survival for the study cohort: Protein biomarkers and conventional pathologic features (——, MUC1, MUC2, MSLN, lymph node status, resection margin status, tumor differentiation); protein biomarkers only (------, MUC1, MUC2, MSLN); conventional pathologic features only (……, lymph node status, resection margin status, tumor differentiation, size).

Jordan M. Winter (316765)
Laura H. Tang (316766)
David S. Klimstra (316768)
Murray F. Brennan (316770)
Jonathan R. Brody (236454)
Flavio G. Rocha (316771)
Xiaoyu Jia (316772)
Li-Xuan Qin (14532)
Michael I. D’Angelica (316773)
Ronald P. DeMatteo (92937)
Yuman Fong (266390)
William R. Jarnagin (316774)
Eileen M. O’Reilly (316775)
Peter J. Allen (316776)

February 2013

Values along the indicated diagonal line (line of no-discrimination) reflect a random gues...

ROC curves for the LR, SVM, DT, NB, and ANN models in predicting the mortality of patients with isolated moderate and severe TBI.

Cheng-Shyuan Rau (478107)
Pao-Jen Kuo (3448835)
Peng-Chen Chien (4582963)
Chun-Ying Huang (4372900)
Hsiao-Yun Hsieh (3448832)
Ching-Hua Hsieh (478112)

November 2018

ROC curves for the LR, SVM, DT, NB, and ANN models in predicting the mortality of patients with isol...

AUC of ROC curve for the prediction of mortality at the time of CRRT application.

Jaechul Yoon (4474429)
Youngmin Kim (1285281)
Dohern Kym (4474441)
Jun Hur (4474438)
Haejun Yim (4474435)
Yong-Suk Cho (4635190)
Wook Chun (2572129)

November 2017

AUC of ROC curve for the prediction of mortality at the time of CRRT application.</p

ROC curves for predicting adverse event.

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 3a. ROC curves for different biomarkers and PSI. Fig 3b. ROC curves for the PSI & MR-proADM p...

ROC curves for models of 90-day mortality after THR with base model, ASA grade and the 4 comorbidity indices derived using conditions recorded at the time of the primary, including age and gender.

Chris M. Penfold (11268914)
Michael R. Whitehouse (8788745)
Ashley W. Blom (7775771)
Andrew Judge (3469271)
J. Mark Wilkinson (11268917)
Adrian Sayers (149481)

August 2021

ROC curves for models of 90-day mortality after THR with base model, ASA grade and the 4 comorbidity...

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)...

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...

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 Curves for the Prediction of Death for the WH Indicators (WH% and WHZ) for the WHO Growth Standards and the NCHS Standards

Nathanael Lapidus (343063)
Francisco J Luquero (374278)
Valérie Gaboulaud (374280)
Susan Shepherd (297316)
Rebecca F Grais (31614)

February 2013

ROC Curves for the Prediction of Death for the WH Indicators (WH% and WHZ) for the WHO Growth Sta...

Comparison of ROC curves in predicting the 30-day mortality by GCS, ICH scores, ICH size, and ICH shape.

Chih-Wei Wang (130237)
Yi-Jui Liu (599004)
Yi-Hsiung Lee (599005)
Dueng-Yuan Hueng (383957)
Hueng-Chuen Fan (599006)
Fu-Chi Yang (599007)
Chun-Jen Hsueh (599008)
Hung-Wen Kao (599009)
Chun-Jung Juan (599010)
Hsian-He Hsu (526787)

July 2014

Comparison of ROC curves in predicting the 30-day mortality by GCS, ICH scores, ICH size, and ICH...

Prediction of death from baseline measurements.

Samuel Nyamweya (308244)
John Townend (118565)
Akram Zaman (308245)
Sarah Jane Steele (308246)
David Jeffries (46007)
Sarah Rowland-Jones (74678)
Hilton Whittle (94688)
Katie L. Flanagan (90853)
Assan Jaye (224735)

February 2013

ROC curves for prediction of death within 5 years from baseline measurements of CD4% and the biom...

ROC curve regarding the prediction of mortality provided by first EVLW, last EVLW, APACHE-II and regression model combining first EVLW, last EVLW and APACHE-II.

Wolfgang Huber (6335)
Josef Höllthaler (610282)
Tibor Schuster (204000)
Andreas Umgelter (46940)
Michael Franzen (46942)
Bernd Saugel (610283)
Colin Cordemans (610284)
Roland M. Schmid (130086)
Manu L. N. G. Malbrain (610285)

August 2014

ROC curve regarding the prediction of mortality provided by first EVLW, last EVLW, APACHE-II and ...

Area under the ROC curves (higher better, lines represent 95% CIs) and IPA scores (higher better) for models of 90-day mortality after KR with ASA grade and the 4 comorbidity indices for all time frames, including age and gender.

Chris M. Penfold (11268914)
Michael R. Whitehouse (8788745)
Ashley W. Blom (7775771)
Andrew Judge (3469271)
J. Mark Wilkinson (11268917)
Adrian Sayers (149481)

August 2021

Area under the ROC curves (higher better, lines represent 95% CIs) and IPA scores (higher better) fo...

ROC curves for the mortality prediction by dichotomized YKL-40 and dichotomized AFP.

Cheng-Bao Zhu (308611)
Can Wang (157994)
Li-Li Chen (308612)
Guo-Liang Ma (308613)
Shi-Cai Zhang (308614)
Liang Su (308615)
Jian-Jun Tian (308616)
Zhong-Tao Gai (308617)

February 2013

The area under the curve was 0.629 for YKL-40, 0.569 for AFP and 0.652 for the combined YKL-40 an...

ROC curve for predicted mortality from GRACE risk alone and combination of GRACE risk with previous stroke and previous hospital admissions.

Stephen Fenning (326021)
Rebecca Woolcock (326022)
Kristin Haga (326023)
Javaid Iqbal (326024)
Keith A. Fox (326025)
Scott A. Murray (125258)
Martin A. Denvir (326026)

February 2013

ROC curve for predicted mortality from GRACE risk alone and combination of GRACE risk with previo...

ROC curves of 3 predictive models of survival for the study cohort: Protein biomarkers and conventional pathologic features (——, MUC1, MUC2, MSLN, lymph node status, resection margin status, tumor differentiation); protein biomarkers only (------, MUC1, MUC2, MSLN); conventional pathologic features only (……, lymph node status, resection margin status, tumor differentiation, size).

Jordan M. Winter (316765)
Laura H. Tang (316766)
David S. Klimstra (316768)
Murray F. Brennan (316770)
Jonathan R. Brody (236454)
Flavio G. Rocha (316771)
Xiaoyu Jia (316772)
Li-Xuan Qin (14532)
Michael I. D’Angelica (316773)
Ronald P. DeMatteo (92937)
Yuman Fong (266390)
William R. Jarnagin (316774)
Eileen M. O’Reilly (316775)
Peter J. Allen (316776)

February 2013

Values along the indicated diagonal line (line of no-discrimination) reflect a random gues...

ROC curves for the LR, SVM, DT, NB, and ANN models in predicting the mortality of patients with isolated moderate and severe TBI.

Cheng-Shyuan Rau (478107)
Pao-Jen Kuo (3448835)
Peng-Chen Chien (4582963)
Chun-Ying Huang (4372900)
Hsiao-Yun Hsieh (3448832)
Ching-Hua Hsieh (478112)

November 2018

ROC curves for the LR, SVM, DT, NB, and ANN models in predicting the mortality of patients with isol...

AUC of ROC curve for the prediction of mortality at the time of CRRT application.

Jaechul Yoon (4474429)
Youngmin Kim (1285281)
Dohern Kym (4474441)
Jun Hur (4474438)
Haejun Yim (4474435)
Yong-Suk Cho (4635190)
Wook Chun (2572129)

November 2017

AUC of ROC curve for the prediction of mortality at the time of CRRT application.</p

ROC curves for predicting 90-day mortality.

Abstract

Extracted data

ROC curves for predicting 90-day mortality.

Abstract

Extracted data

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