Benjamin Alan Goldstein

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 31

Top Topics

Interactive Visualizations

Prediction Model

Electronic Health Records

Diabetes Mellitus

Top Venues

J. Am. Medical Informatics Assoc.

BMC Medical Informatics Decis. Mak.

Publications

Yilin Ning, Victor Volovici, Marcus Eng Hock Ong, Benjamin Alan Goldstein, Nan Liu
A roadmap to fair and trustworthy prediction model validation in healthcare. CoRR (2023)
Feier Chang, Jay Krishnan, Jillian H. Hurst, Michael E. Yarrington, Deverick J. Anderson, Emily C. O'Brien, Benjamin Alan Goldstein
Using natural language processing and structured medical data to phenotype patients hospitalized due to COVID-19. CoRR (2023)
Zhenhui Xu, Congwen Zhao, Charles D. Scales, Ricardo Henao, Benjamin Alan Goldstein
Predicting in-hospital length of stay: a two-stage modeling approach to account for highly skewed data. BMC Medical Informatics Decis. Mak. 22 (1) (2022)
Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Benjamin Alan Goldstein, Daniel Shu Wei Ting, Roger Vaughan, Nan Liu
Shapley variable importance cloud for interpretable machine learning. Patterns 3 (4) (2022)
Jillian H. Hurst, Congwen Zhao, Haley P. Hostetler, Mohsen Ghiasi Gorveh, Jason E. Lang, Benjamin Alan Goldstein
Environmental and clinical data utility in pediatric asthma exacerbation risk prediction models. BMC Medical Informatics Decis. Mak. 22 (1) (2022)
Armando Bedoya, Nicoleta J. Economou-Zavlanos, Benjamin Alan Goldstein, Allison Young, John Eric Jelovsek, Cara O'Brien, Amanda B. Parrish, Scott Elengold, Kay Lytle, Suresh Balu, Erich Huang, Eric G. Poon, Michael J. Pencina
A framework for the oversight and local deployment of safe and high-quality prediction models. J. Am. Medical Informatics Assoc. 29 (9) (2022)
Han Yuan, Feng Xie, Marcus Eng Hock Ong, Yilin Ning, Marcel Lucas Chee, Seyed Ehsan Saffari, Hairil Rizal Abdullah, Benjamin Alan Goldstein, Bibhas Chakraborty, Nan Liu
AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data. J. Biomed. Informatics 129 (2022)
Paul Sabharwal, Jillian H. Hurst, Rohit Tejwani, Kevin T. Hobbs, Jonathan C. Routh, Benjamin Alan Goldstein
Correction to: Combining adult with pediatric patient data to develop a clinical decision support tool intended for children: leveraging machine learning to model heterogeneity. BMC Medical Informatics Decis. Mak. 22 (1) (2022)
Mengying Yan, Michael J. Pencina, L. Ebony Boulware, Benjamin Alan Goldstein
Observability and its impact on differential bias for clinical prediction models. J. Am. Medical Informatics Assoc. 29 (5) (2022)
Paul Sabharwal, Jillian H. Hurst, Rohit Tejwani, Kevin T. Hobbs, Jonathan C. Routh, Benjamin Alan Goldstein
Combining adult with pediatric patient data to develop a clinical decision support tool intended for children: leveraging machine learning to model heterogeneity. BMC Medical Informatics Decis. Mak. 22 (1) (2022)
Feng Xie, Yilin Ning, Han Yuan, Benjamin Alan Goldstein, Marcus Eng Hock Ong, Nan Liu, Bibhas Chakraborty
AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data. J. Biomed. Informatics 125 (2022)
Mengying Yan, Michael J. Pencina, Benjamin Alan Goldstein
Understanding Algorithmic Bias in Clinical Prediction Models. AMIA (2021)
Feng Xie, Yilin Ning, Han Yuan, Benjamin Alan Goldstein, Marcus Eng Hock Ong, Nan Liu, Bibhas Chakraborty
AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data. CoRR (2021)
Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Benjamin Alan Goldstein, Daniel Shu Wei Ting, Roger Vaughan, Nan Liu
Shapley variable importance clouds for interpretable machine learning. CoRR (2021)
Han Yuan, Feng Xie, Marcus Eng Hock Ong, Yilin Ning, Marcel Lucas Chee, Seyed Ehsan Saffari, Hairil Rizal Abdullah, Benjamin Alan Goldstein, Bibhas Chakraborty, Nan Liu
AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data. CoRR (2021)
Zidi Xiu, Chenyang Tao, Michael Gao, Connor Davis, Benjamin Alan Goldstein, Ricardo Henao
Variational Disentanglement for Rare Event Modeling. AAAI (2021)
Courtney Page, Conrad Sweitek, Cliona Molony, Karen Chandross, Benjamin Alan Goldstein
Comparison of a patient cohort and predictive models derived from local academic medical centers versus a national health database. AMIA (2021)
Zidi Xiu, Chenyang Tao, Michael Gao, Connor Davis, Benjamin Alan Goldstein, Ricardo Henao
Variational Disentanglement for Rare Event Modeling. CoRR (2020)
Junya Chen, Zidi Xiu, Benjamin Alan Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao
Supercharging Imbalanced Data Learning With Causal Representation Transfer. CoRR (2020)
Andrew Stirling, Tracy Tubb, Emily S. Reiff, Chad A. Grotegut, Jennifer Gagnon, Weiyi Li, Gail Bradley, Eric G. Poon, Benjamin Alan Goldstein
Identified themes of interactive visualizations overlayed onto EHR data: an example of improving birth center operating room efficiency. J. Am. Medical Informatics Assoc. 27 (5) (2020)
Benjamin Alan Goldstein, Matthew Phelan, Neha J. Pagidipati, Rury R. Holman, Michael J. Pencina, Elizabeth A. Stuart
An outcome model approach to transporting a randomized controlled trial results to a target population. J. Am. Medical Informatics Assoc. 26 (5) (2019)
Benjamin Alan Goldstein, Matthew Phelan, Neha J. Pagidipati, Sarah B. Peskoe
How and when informative visit processes can bias inference when using electronic health records data for clinical research. J. Am. Medical Informatics Assoc. 26 (12) (2019)
Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Courtney Page, Benjamin Alan Goldstein, Lawrence Carin, Ricardo Henao
Adversarial Time-to-Event Modeling. ICML (2018)
Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Courtney Page, Benjamin Alan Goldstein, Lawrence Carin, Ricardo Henao
Adversarial Time-to-Event Modeling. CoRR (2018)
Ursula A. Rogers, Shelley A. Rusincovitch, Matthew Phelan, Nigel B. Neely, Benjamin Alan Goldstein
Lessons Learned from an EHR-Based Population Health Datamart: Southeastern Diabetes Initiative (SEDI). AMIA (2018)
Xiruo Ding, Ziad Gellad, III Chad Mather, Pamela Barth, Eric G. Poon, Mark Newman, Benjamin Alan Goldstein
Designing risk prediction models for ambulatory no-shows across different specialties and clinics. J. Am. Medical Informatics Assoc. 25 (8) (2018)
Susan E. Spratt, Katherine Pereira, Bradi B. Granger, Bryan C. Batch, Matthew Phelan, Michael J. Pencina, Marie Lynn Miranda, L. Ebony Boulware, Joseph E. Lucas, Charlotte L. Nelson, Benjamin Neely, Benjamin Alan Goldstein, Pamela Barth, Rachel L. Richesson, Isaretta L. Riley, Leonor Corsino, Eugenia R. McPeek Hinz, Shelley A. Rusincovitch, Jennifer Green, Anna Beth Barton, Carly Kelley, Kristen Hyland, Monica Tang, Amanda Elliott, Ewa Ruel, Alexander Clark, Melanie Mabrey, Kay Lyn Morrissey, Jyothi Rao, Beatrice Hong, Marjorie Pierre-Louis, Katherine Kelly, Nicole E. Jelesoff
Assessing electronic health record phenotypes against gold-standard diagnostic criteria for diabetes mellitus. J. Am. Medical Informatics Assoc. 24 (e1) (2017)
Benjamin Alan Goldstein, Michael J. Pencina, Maria E. Montez-Rath, Wolfgang C. Winkelmayer
Predicting mortality over different time horizons: which data elements are needed? J. Am. Medical Informatics Assoc. 24 (1) (2017)
Benjamin Alan Goldstein, Ann Marie Navar, Michael J. Pencina, John P. A. Ioannidis
Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review. J. Am. Medical Informatics Assoc. 24 (1) (2017)
Benjamin Alan Goldstein, Matthew Phelan, Nrupen Bhavsar
Informed Presence Bias in the Analysis of Electronic Health Records. CRI (2017)
Benjamin Alan Goldstein, Ann Marie Navar, Michael J. Pencina, John P. A. Ioannidis
A Systematic Review of Using Electronic Heath Records to Predict Clinical Events: Assessment of Opportunities and Challenges. CRI (2016)
Benjamin Alan Goldstein, Tara I. Chang, Wolfgang C. Winkelmayer
Classifying individuals based on a densely captured sequence of vital signs: An example using repeated blood pressure measurements during hemodialysis treatment. J. Biomed. Informatics 57 (2015)
Matthew Phelan, Benjamin Alan Goldstein
A Simulation Framework for Longitudinal Electronic Health Records Data. AMIA (2015)
Benjamin Alan Goldstein, Wolfgang C. Winkelmayer, Themistocles L. Assimes
Changes during dialysis captured in electronic health records help predict near-term risk of sudden cardiac death. AMIA (2013)