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Figure 1. Training and testing an EEC-GIFT–based LCS eligibility mechanism. The best EEC-GIFT*–based LCS eligibility model can be trained by performing a grid search from stratified 10-fold cross-validation (CV) based on the training dataset to identify the optimal pre-processing strategy, the best parameters

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The properties of our training data. (A) Shows that the number of participa...

in Easy ensemble classifier-group and intersectional fairness and threshold (EEC-GIFT): a fairness-aware machine learning framework for lung cancer screening eligibility using real-world data

Published: 20 March 2025

Figure 2. The properties of our training data. (A) Shows that the number of participants who were confirmed to have lung cancer was only 4.12% of the whole population in our training dataset. (B) Illustrates that Black participants comprise only 5.74% of all participants in the training dataset. These class i

Image

The EOD distributions of (A) 2021 USPSTF criteria, (B) PLCO_M2012...

in Easy ensemble classifier-group and intersectional fairness and threshold (EEC-GIFT): a fairness-aware machine learning framework for lung cancer screening eligibility using real-world data

Published: 20 March 2025

Figure 3. The EOD distributions of (A) 2021 USPSTF criteria, (B) PLCO M2012 model (threshold = 0.013455), (C) LR-GIFT* (“ T U ” = 0.027) (D) EEC-GIFT* (“ T U ” = 0.0239)—based LCS eligibility mechanisms. The comparison of the EOD distributions of the LR-GIFT* and EEC-GIFT* to the 20

Journal Article

Easy ensemble classifier-group and intersectional fairness and threshold (EEC-GIFT): a fairness-aware machine learning framework for lung cancer screening eligibility using real-world data

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Piyawan Conahan and others

JNCI Cancer Spectrum, Volume 9, Issue 2, April 2025, pkaf030, https://doi.org/10.1093/jncics/pkaf030

Published: 20 March 2025

Supplementary data

Journal Article

AI meets informed consent: a new era for clinical trial communication

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Michael Waters

JNCI Cancer Spectrum, Volume 9, Issue 2, April 2025, pkaf028, https://doi.org/10.1093/jncics/pkaf028

Published: 18 March 2025

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DEI Index Scores (DISs) stratified by when the survey was done (2021 vs 202...

in Forward momentum: progressive change through diversity equity and inclusion initiatives in academic health care

Published: 14 March 2025

Figure 2. DEI Index Scores (DISs) stratified by when the survey was done (2021 vs 2023) and various demographic categories ( A-D ). ** P ≤ .05.

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DEI Index Scores (DISs) stratified by when the survey was done (2021 vs 202...

in Forward momentum: progressive change through diversity equity and inclusion initiatives in academic health care

Published: 14 March 2025

Figure 1. DEI Index Scores (DISs) stratified by when the survey was done (2021 vs 2023). Box and whisker plots show grouped survey questions in classified DEI categories ( A-D ) and bar graphs highlight specific survey questions ( a-d ) from that category that illustrate differences between the 2 years. Each

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Average coder scores of how the department performed (1 = very poor to 5 = ...

in Forward momentum: progressive change through diversity equity and inclusion initiatives in academic health care

Published: 14 March 2025

Figure 3. Average coder scores of how the department performed (1 = very poor to 5 = very good) on persistent themes uncovered during the thematic analysis based on employee comments found on the survey in 2021 ( black circles ) and 2023 ( gray circles ). Error bars represent the SD of the coder scores.

Journal Article

Forward momentum: progressive change through diversity equity and inclusion initiatives in academic health care

PDF

Chaitanya Kalavagunta and others

JNCI Cancer Spectrum, Volume 9, Issue 2, April 2025, pkaf029, https://doi.org/10.1093/jncics/pkaf029

Published: 14 March 2025

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Training and testing an EEC-GIFT–based LCS eligibility mechanism. The best ...

The properties of our training data. (A) Shows that the number of participa...

The EOD distributions of (A) 2021 USPSTF criteria, (B) PLCO_M2012...

Easy ensemble classifier-group and intersectional fairness and threshold (EEC-GIFT): a fairness-aware machine learning framework for lung cancer screening eligibility using real-world data

AI meets informed consent: a new era for clinical trial communication

DEI Index Scores (DISs) stratified by when the survey was done (2021 vs 202...

DEI Index Scores (DISs) stratified by when the survey was done (2021 vs 202...

Average coder scores of how the department performed (1 = very poor to 5 = ...

Forward momentum: progressive change through diversity equity and inclusion initiatives in academic health care

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