Comparison of unassisted and model-assisted performance metrics of clinical experts on the validation set.

Performance comparison between individual models and the ensemble approach in the local and external validation scenarios.

Diego Alvarez-Estevez (11278741)
Roselyne M. Rijsman (8503080)

August 2021

Performance comparison between individual models and the ensemble approach in the local and external...

Comparing performance of the proposed methods built with different number of individual models.

Lucy Nwosu (14129241)
Xiangfang Li (1628737)
Lijun Qian (2364427)
Seungchan Kim (292997)
Xishuang Dong (6658961)

November 2022

Comparing performance of the proposed methods built with different number of individual models.</p

Performance measures of the models, both discriminatory power (ability to identify patients at increased risk) and calibration (precision in predictions).

Mikkel Brabrand (549516)
Annmarie Touborg Lassen (541956)
Torben Knudsen (597608)
Jesper Hallas (494248)

April 2015

Performance measures of the models, both discriminatory power (ability to identify patients at in...

Comparison of unassisted and model-assisted performance metrics of clinical experts on the validation set.

Nicholas Bien (6013715)
Pranav Rajpurkar (5993015)
Robyn L. Ball (3682054)
Jeremy Irvin (5993018)
Allison Park (6013718)
Erik Jones (6013721)
Michael Bereket (6013724)
Bhavik N. Patel (5993042)
Kristen W. Yeom (753979)
Katie Shpanskaya (5993045)
Safwan Halabi (6013727)
Evan Zucker (6013730)
Gary Fanton (6013733)
Derek F. Amanatullah (6013736)
Christopher F. Beaulieu (6013739)
Geoffrey M. Riley (6013742)
Russell J. Stewart (1899409)
Francis G. Blankenberg (5993048)
David B. Larson (6013745)
Ricky H. Jones (6013748)
Curtis P. Langlotz (5993039)
Andrew Y. Ng (5403176)
Matthew P. Lungren (4536982)

November 2018

Mean differences (with 95% CI error bars) in clinical experts’ performance metrics (model-assisted m...

Comparison of clinical features among patients in the modeling and validation groups (% or range).

Guomei Xia (13891020)
Shanshan Sun (275585)
Shijun Zhou (11185840)
Lei Li (29537)
Xu Li (23864)
Guizhou Zou (7216184)
Cheng Huang (115619)
Jun Li (6494)
Zhenhua Zhang (562631)

March 2023

Comparison of clinical features among patients in the modeling and validation groups (% or range).</...

Performance of tested case ascertainment algorithms on training and validation sets (medical charts records as the reference standard).

V. Cottin (6612047)
D. Avot (6612050)
L. Lévy-Bachelot (6612053)
C. A. Baxter (6612056)
D. R. Ramey (6612059)
L. Catella (6612062)
S. Bénard (2980986)
O. Sitbon (6612065)
S. Teal (5573609)

April 2019

Performance of tested case ascertainment algorithms on training and validation sets (medical charts ...

Performance of sparse and non-sparse discriminant models in internal validation compared on the same dataset.

Osamu Matsuda (756159)
Yoshinori Ohara (17014574)

September 2023

Performance of sparse and non-sparse discriminant models in internal validation compared on the same...

Comparison of model vs. human performance on the human test set (200 reports).

Erik Bergman (13989411)
Luise Dürlich (17592877)
Veronica Arthurson (17592880)
Anders Sundström (157528)
Maria Larsson (784935)
Shamima Bhuiyan (17592883)
Andreas Jakobsson (1624294)
Gabriel Westman (470272)

December 2023

Comparison of model vs. human performance on the human test set (200 reports).</p

Critical performance metrics for each models and cross validation set (standard deviation shown in parenthesis, were available).

Ian van der Linde (5870609)
Peter Bright (5791331)

October 2018

Critical performance metrics for each models and cross validation set (standard deviation shown in p...

Comparison of the groups of participants with satisfactory (selected) versus unsatisfactory (filtered) models.

Victor P. Andreev (402750)
Margaret E. Helmuth (12859326)
Abigail R. Smith (6106202)
Anna Zisman (17419804)
Anne P. Cameron (12859332)
John O. L. DeLancey (12859344)
Wade A. Bushman (17419807)

November 2023

Comparison of the groups of participants with satisfactory (selected) versus unsatisfactory (filtere...

Comparison results of different network models: A is training accuracy of model, B is validation accuracy of model.

Lili Fu (171544)
Shijun Li (165293)
Shuolin Kong (13919521)
Ruiwen Ni (13919524)
Haohong Pang (13919527)
Yu Sun (18463)
Tianli Hu (6311222)
Ye Mu (9358116)
Ying Guo (53523)
He Gong (169894)

October 2022

Comparison results of different network models: A is training accuracy of model, B is validation acc...

Performance comparisons between three different models using breast cancer datasets.

Xiaoqian Jiang (124514)
Aditya Menon (124518)
Shuang Wang (46453)
Jihoon Kim (10090)
Lucila Ohno-Machado (3907)

November 2012

Performance comparisons between three different models using breast cancer datasets.</p

Comparison of evaluation metrics of models at different forecasting horizons.

Xiaoran Geng (16523586)
Yue Ma (384284)
Wennian Cai (16523583)
Yuanyi Zha (16523589)
Tao Zhang (43681)
Huadong Zhang (8501079)
Changhong Yang (5117735)
Fei Yin (179978)
Tiejun Shui (844749)

September 2023

Comparison of evaluation metrics of models at different forecasting horizons.</p

Performance comparison of Bayesian network classifiers using validation dataset.

Behrouz Ehsani-Moghaddam (6103097)
John A. Queenan (6103100)
Jennifer MacKenzie (75870)
Richard V. Birtwhistle (6103103)

December 2018

Performance comparison of Bayesian network classifiers using validation dataset.</p

Comparison of Observed Simulated Patients and Existing Quality Measurement Tools.

Tin Aung (103674)
Dominic Montagu (121105)
Karen Schlein (334530)
Thin Myat Khine (334532)
Willi McFarland (211334)

February 2013

Comparison of Observed Simulated Patients and Existing Quality Measurement Tools.</p

Performance comparison between individual models and the ensemble approach in the local and external validation scenarios.

Diego Alvarez-Estevez (11278741)
Roselyne M. Rijsman (8503080)

August 2021

Performance comparison between individual models and the ensemble approach in the local and external...

Comparing performance of the proposed methods built with different number of individual models.

Lucy Nwosu (14129241)
Xiangfang Li (1628737)
Lijun Qian (2364427)
Seungchan Kim (292997)
Xishuang Dong (6658961)

November 2022

Comparing performance of the proposed methods built with different number of individual models.</p

Performance measures of the models, both discriminatory power (ability to identify patients at increased risk) and calibration (precision in predictions).

Mikkel Brabrand (549516)
Annmarie Touborg Lassen (541956)
Torben Knudsen (597608)
Jesper Hallas (494248)

April 2015

Performance measures of the models, both discriminatory power (ability to identify patients at in...

Comparison of unassisted and model-assisted performance metrics of clinical experts on the validation set.

Nicholas Bien (6013715)
Pranav Rajpurkar (5993015)
Robyn L. Ball (3682054)
Jeremy Irvin (5993018)
Allison Park (6013718)
Erik Jones (6013721)
Michael Bereket (6013724)
Bhavik N. Patel (5993042)
Kristen W. Yeom (753979)
Katie Shpanskaya (5993045)
Safwan Halabi (6013727)
Evan Zucker (6013730)
Gary Fanton (6013733)
Derek F. Amanatullah (6013736)
Christopher F. Beaulieu (6013739)
Geoffrey M. Riley (6013742)
Russell J. Stewart (1899409)
Francis G. Blankenberg (5993048)
David B. Larson (6013745)
Ricky H. Jones (6013748)
Curtis P. Langlotz (5993039)
Andrew Y. Ng (5403176)
Matthew P. Lungren (4536982)

November 2018

Mean differences (with 95% CI error bars) in clinical experts’ performance metrics (model-assisted m...

Comparison of clinical features among patients in the modeling and validation groups (% or range).

Guomei Xia (13891020)
Shanshan Sun (275585)
Shijun Zhou (11185840)
Lei Li (29537)
Xu Li (23864)
Guizhou Zou (7216184)
Cheng Huang (115619)
Jun Li (6494)
Zhenhua Zhang (562631)

March 2023

Comparison of clinical features among patients in the modeling and validation groups (% or range).</...

Performance of tested case ascertainment algorithms on training and validation sets (medical charts records as the reference standard).

V. Cottin (6612047)
D. Avot (6612050)
L. Lévy-Bachelot (6612053)
C. A. Baxter (6612056)
D. R. Ramey (6612059)
L. Catella (6612062)
S. Bénard (2980986)
O. Sitbon (6612065)
S. Teal (5573609)

April 2019

Performance of tested case ascertainment algorithms on training and validation sets (medical charts ...

Performance of sparse and non-sparse discriminant models in internal validation compared on the same dataset.

Osamu Matsuda (756159)
Yoshinori Ohara (17014574)

September 2023

Performance of sparse and non-sparse discriminant models in internal validation compared on the same...

Comparison of model vs. human performance on the human test set (200 reports).

Erik Bergman (13989411)
Luise Dürlich (17592877)
Veronica Arthurson (17592880)
Anders Sundström (157528)
Maria Larsson (784935)
Shamima Bhuiyan (17592883)
Andreas Jakobsson (1624294)
Gabriel Westman (470272)

December 2023

Comparison of model vs. human performance on the human test set (200 reports).</p

Critical performance metrics for each models and cross validation set (standard deviation shown in parenthesis, were available).

Ian van der Linde (5870609)
Peter Bright (5791331)

October 2018

Critical performance metrics for each models and cross validation set (standard deviation shown in p...

Comparison of the groups of participants with satisfactory (selected) versus unsatisfactory (filtered) models.

Victor P. Andreev (402750)
Margaret E. Helmuth (12859326)
Abigail R. Smith (6106202)
Anna Zisman (17419804)
Anne P. Cameron (12859332)
John O. L. DeLancey (12859344)
Wade A. Bushman (17419807)

November 2023

Comparison of the groups of participants with satisfactory (selected) versus unsatisfactory (filtere...

Comparison results of different network models: A is training accuracy of model, B is validation accuracy of model.

Lili Fu (171544)
Shijun Li (165293)
Shuolin Kong (13919521)
Ruiwen Ni (13919524)
Haohong Pang (13919527)
Yu Sun (18463)
Tianli Hu (6311222)
Ye Mu (9358116)
Ying Guo (53523)
He Gong (169894)

October 2022

Comparison results of different network models: A is training accuracy of model, B is validation acc...

Performance comparisons between three different models using breast cancer datasets.

Xiaoqian Jiang (124514)
Aditya Menon (124518)
Shuang Wang (46453)
Jihoon Kim (10090)
Lucila Ohno-Machado (3907)

November 2012

Performance comparisons between three different models using breast cancer datasets.</p

Comparison of evaluation metrics of models at different forecasting horizons.

Xiaoran Geng (16523586)
Yue Ma (384284)
Wennian Cai (16523583)
Yuanyi Zha (16523589)
Tao Zhang (43681)
Huadong Zhang (8501079)
Changhong Yang (5117735)
Fei Yin (179978)
Tiejun Shui (844749)

September 2023

Comparison of evaluation metrics of models at different forecasting horizons.</p

Performance comparison of Bayesian network classifiers using validation dataset.

Behrouz Ehsani-Moghaddam (6103097)
John A. Queenan (6103100)
Jennifer MacKenzie (75870)
Richard V. Birtwhistle (6103103)

December 2018

Performance comparison of Bayesian network classifiers using validation dataset.</p

Comparison of Observed Simulated Patients and Existing Quality Measurement Tools.

Tin Aung (103674)
Dominic Montagu (121105)
Karen Schlein (334530)
Thin Myat Khine (334532)
Willi McFarland (211334)

February 2013

Comparison of Observed Simulated Patients and Existing Quality Measurement Tools.</p

Performance comparison between individual models and the ensemble approach in the local and external validation scenarios.

Diego Alvarez-Estevez (11278741)
Roselyne M. Rijsman (8503080)

August 2021

Performance comparison between individual models and the ensemble approach in the local and external...

Comparing performance of the proposed methods built with different number of individual models.

Lucy Nwosu (14129241)
Xiangfang Li (1628737)
Lijun Qian (2364427)
Seungchan Kim (292997)
Xishuang Dong (6658961)

November 2022

Comparing performance of the proposed methods built with different number of individual models.</p

Performance measures of the models, both discriminatory power (ability to identify patients at increased risk) and calibration (precision in predictions).

Mikkel Brabrand (549516)
Annmarie Touborg Lassen (541956)
Torben Knudsen (597608)
Jesper Hallas (494248)

April 2015

Performance measures of the models, both discriminatory power (ability to identify patients at in...

Comparison of unassisted and model-assisted performance metrics of clinical experts on the validation set.

Abstract

Extracted data

Comparison of unassisted and model-assisted performance metrics of clinical experts on the validation set.

Abstract

Extracted data

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