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Patterns (New York, N.Y.)
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April 25, 2022
Shapley variable importance cloud for interpretable machine learning
Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, et al.
World Neurosurgery
|
May 4, 2022
Proper Use of Multiple Imputation and Dealing with Missing Covariate Data
Seyed Ehsan Saffari, Victor Volovici, Marcus Eng Hock Ong, et al.
Journal of the Academy of Nutrition and Dietetics
|
January 13, 2015
The effectiveness of two community-based weight loss strategies among obese, low-income US Latinos
Lisa Goldman Rosas, Sreedevi Thiyagarajan, Benjamin Alan Goldstein, et al.
Journal of Biomedical Informatics
|
April 14, 2022
AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data
Han Yuan, Feng Xie, Marcus Eng Hock Ong, et al.
STAR Protocols
|
May 13, 2023
A universal AutoScore framework to develop interpretable scoring systems for predicting common types of clinical outcomes
Feng Xie, Yilin Ning, Mingxuan Liu, et al.
Journal of Perinatology : Official Journal of the California Perinatal Association
|
February 16, 2026
Predicting pulmonary hypertension in infants with bronchopulmonary dysplasia
Henry P Foote, Minghui Sun, Benjamin Alan Goldstein, et al.
Nature Medicine
|
October 18, 2024
An ethics assessment tool for artificial intelligence implementation in healthcare: CARE-AI
Yilin Ning, Xiaoxuan Liu, Gary S Collins, et al.
JAMA Network Open
|
August 27, 2021
Development and Assessment of an Interpretable Machine Learning Triage Tool for Estimating Mortality After Emergency Admissions
Feng Xie, Marcus Eng Hock Ong, Johannes Nathaniel Min Hui Liew, et al.
Journal of the American College of Radiology : JACR
|
May 7, 2020
ACR Appropriateness Criteria® Chronic Liver Disease
, Mustafa R Bashir, Jeanne M Horowitz, et al.
Journal of the American College of Radiology : JACR
|
May 6, 2019
ACR Appropriateness Criteria<sup>®</sup> Jaundice
, Nicole M Hindman, Hina Arif-Tiwari, et al.
Page
of 4
Search research articles
Search
Showing results (21-30 of 36) with videos related to
Sort By:
Page
of 4
Patterns (New York, N.Y.)
|
April 25, 2022
Shapley variable importance cloud for interpretable machine learning
Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, et al.
World Neurosurgery
|
May 4, 2022
Proper Use of Multiple Imputation and Dealing with Missing Covariate Data
Seyed Ehsan Saffari, Victor Volovici, Marcus Eng Hock Ong, et al.
Journal of the Academy of Nutrition and Dietetics
|
January 13, 2015
The effectiveness of two community-based weight loss strategies among obese, low-income US Latinos
Lisa Goldman Rosas, Sreedevi Thiyagarajan, Benjamin Alan Goldstein, et al.
Journal of Biomedical Informatics
|
April 14, 2022
AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data
Han Yuan, Feng Xie, Marcus Eng Hock Ong, et al.
STAR Protocols
|
May 13, 2023
A universal AutoScore framework to develop interpretable scoring systems for predicting common types of clinical outcomes
Feng Xie, Yilin Ning, Mingxuan Liu, et al.
Journal of Perinatology : Official Journal of the California Perinatal Association
|
February 16, 2026
Predicting pulmonary hypertension in infants with bronchopulmonary dysplasia
Henry P Foote, Minghui Sun, Benjamin Alan Goldstein, et al.
Nature Medicine
|
October 18, 2024
An ethics assessment tool for artificial intelligence implementation in healthcare: CARE-AI
Yilin Ning, Xiaoxuan Liu, Gary S Collins, et al.
JAMA Network Open
|
August 27, 2021
Development and Assessment of an Interpretable Machine Learning Triage Tool for Estimating Mortality After Emergency Admissions
Feng Xie, Marcus Eng Hock Ong, Johannes Nathaniel Min Hui Liew, et al.
Journal of the American College of Radiology : JACR
|
May 7, 2020
ACR Appropriateness Criteria® Chronic Liver Disease
, Mustafa R Bashir, Jeanne M Horowitz, et al.
Journal of the American College of Radiology : JACR
|
May 6, 2019
ACR Appropriateness Criteria<sup>®</sup> Jaundice
, Nicole M Hindman, Hina Arif-Tiwari, et al.
Page
of 4