Benjamin Alan Goldstein

41 papers A* 2Misc 5Journal 32Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Discrete Time Neural Network Models to Address Time-Varying Predictor Importance: An Illustration in Predicting Mortality Over Different Time Horizons. IEEE J. Biomed. Health Informatics Mufan Wang, Matthew M. Engelhard, Patrick H. Pun, Benjamin Alan Goldstein
2026	J	`jnl`	Multimodal Training to Unimodal Deployment: Leveraging Unstructured Data During Training to Optimize Structured Data Only Deployment. CoRR Zigui Wang, Minghui Sun, Jiang Shu, Matthew M. Engelhard, Lauren Franz, Benjamin Alan Goldstein
2025	J	`jnl`	Borrowing From the Future: Enhancing Early Risk Assessment through Contrastive Learning. CoRR Minghui Sun, Matthew M. Engelhard, Benjamin Alan Goldstein
2025	J	`jnl`	CLEAR: Unlearning Spurious Style-Content Associations with Contrastive LEarning with Anti-contrastive Regularization. CoRR Minghui Sun, Benjamin Alan Goldstein, Matthew M. Engelhard
2025	J	`jnl`	FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport. CoRR Pengxi Liu, Yi Shen, Matthew M. Engelhard, Benjamin Alan Goldstein, Michael J. Pencina, Nicoleta J. Economou-Zavlanos, Michael M. Zavlanos
2025	J	`jnl`	Machine learning-based prediction models in medical decision-making in kidney disease: patient, caregiver, and clinician perspectives on trust and appropriate use. J. Am. Medical Informatics Assoc. Jessica Sperling, Whitney Welsh, Erin Haseley, Stella Quenstedt, Perusi B. Muhigaba, Adrian Brown, Patti Ephraim, Tariq Shafi, Michael Waitzkin, David J. Casarett, Benjamin Alan Goldstein
2024	J	`jnl`	A conditional multi-label model to improve prediction of a rare outcome: An illustration predicting autism diagnosis. J. Biomed. Informatics Wei A. Huang, Matthew Engelhard, Marika Coffman, Elliot D. Hill, Qin Weng, Abby Scheer, Gary Maslow, Ricardo Henao, Geraldine Dawson, Benjamin Alan Goldstein
2023	J	`jnl`	A roadmap to fair and trustworthy prediction model validation in healthcare. CoRR Yilin Ning, Victor Volovici, Marcus Eng Hock Ong, Benjamin Alan Goldstein, Nan Liu
2023	J	`jnl`	Using natural language processing and structured medical data to phenotype patients hospitalized due to COVID-19. CoRR Feier Chang, Jay Krishnan, Jillian H. Hurst, Michael E. Yarrington, Deverick J. Anderson, Emily C. O'Brien, Benjamin Alan Goldstein
2022	J	`jnl`	A framework for the oversight and local deployment of safe and high-quality prediction models. J. Am. Medical Informatics Assoc. 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
2022	J	`jnl`	AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data. J. Biomed. Informatics 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
2022	J	`jnl`	AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data. J. Biomed. Informatics Feng Xie, Yilin Ning, Han Yuan, Benjamin Alan Goldstein, Marcus Eng Hock Ong, Nan Liu, Bibhas Chakraborty
2022	J	`jnl`	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. Paul Sabharwal, Jillian H. Hurst, Rohit Tejwani, Kevin T. Hobbs, Jonathan C. Routh, Benjamin Alan Goldstein
2022	J	`jnl`	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. Paul Sabharwal, Jillian H. Hurst, Rohit Tejwani, Kevin T. Hobbs, Jonathan C. Routh, Benjamin Alan Goldstein
2022	J	`jnl`	Environmental and clinical data utility in pediatric asthma exacerbation risk prediction models. BMC Medical Informatics Decis. Mak. Jillian H. Hurst, Congwen Zhao, Haley P. Hostetler, Mohsen Ghiasi Gorveh, Jason E. Lang, Benjamin Alan Goldstein
2022	J	`jnl`	Observability and its impact on differential bias for clinical prediction models. J. Am. Medical Informatics Assoc. Mengying Yan, Michael J. Pencina, L. Ebony Boulware, Benjamin Alan Goldstein
2022	J	`jnl`	Predicting in-hospital length of stay: a two-stage modeling approach to account for highly skewed data. BMC Medical Informatics Decis. Mak. Zhenhui Xu, Congwen Zhao, Charles D. Scales, Ricardo Henao, Benjamin Alan Goldstein
2022	J	`jnl`	Shapley variable importance cloud for interpretable machine learning. Patterns Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Benjamin Alan Goldstein, Daniel Shu Wei Ting, Roger Vaughan, Nan Liu
2021	J	`jnl`	AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data. CoRR 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
2021	J	`jnl`	AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data. CoRR Feng Xie, Yilin Ning, Han Yuan, Benjamin Alan Goldstein, Marcus Eng Hock Ong, Nan Liu, Bibhas Chakraborty
2021	Misc	`conf`	Comparison of a patient cohort and predictive models derived from local academic medical centers versus a national health database. AMIA Courtney Page, Conrad Sweitek, Cliona Molony, Karen Chandross, Benjamin Alan Goldstein
2021	J	`jnl`	Shapley variable importance clouds for interpretable machine learning. CoRR Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Benjamin Alan Goldstein, Daniel Shu Wei Ting, Roger Vaughan, Nan Liu
2021	Misc	`conf`	Understanding Algorithmic Bias in Clinical Prediction Models. AMIA Mengying Yan, Michael J. Pencina, Benjamin Alan Goldstein
2021	A*	`conf`	Variational Disentanglement for Rare Event Modeling. AAAI Zidi Xiu, Chenyang Tao, Michael Gao, Connor Davis, Benjamin Alan Goldstein, Ricardo Henao
2020	J	`jnl`	Identified themes of interactive visualizations overlayed onto EHR data: an example of improving birth center operating room efficiency. J. Am. Medical Informatics Assoc. Andrew Stirling, Tracy Tubb, Emily S. Reiff, Chad A. Grotegut, Jennifer Gagnon, Weiyi Li, Gail Bradley, Eric G. Poon, Benjamin Alan Goldstein
2020	J	`jnl`	Supercharging Imbalanced Data Learning With Causal Representation Transfer. CoRR Junya Chen, Zidi Xiu, Benjamin Alan Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao
2020	J	`jnl`	Variational Disentanglement for Rare Event Modeling. CoRR Zidi Xiu, Chenyang Tao, Michael Gao, Connor Davis, Benjamin Alan Goldstein, Ricardo Henao
2019	J	`jnl`	An outcome model approach to transporting a randomized controlled trial results to a target population. J. Am. Medical Informatics Assoc. Benjamin Alan Goldstein, Matthew Phelan, Neha J. Pagidipati, Rury R. Holman, Michael J. Pencina, Elizabeth A. Stuart
2019	J	`jnl`	How and when informative visit processes can bias inference when using electronic health records data for clinical research. J. Am. Medical Informatics Assoc. Benjamin Alan Goldstein, Matthew Phelan, Neha J. Pagidipati, Sarah B. Peskoe
2018	A*	`conf`	Adversarial Time-to-Event Modeling. ICML Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Courtney Page, Benjamin Alan Goldstein, Lawrence Carin, Ricardo Henao
2018	J	`jnl`	Adversarial Time-to-Event Modeling. CoRR Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Courtney Page, Benjamin Alan Goldstein, Lawrence Carin, Ricardo Henao
2018	J	`jnl`	Designing risk prediction models for ambulatory no-shows across different specialties and clinics. J. Am. Medical Informatics Assoc. Xiruo Ding, Ziad Gellad, III Chad Mather, Pamela Barth, Eric G. Poon, Mark Newman, Benjamin Alan Goldstein
2018	Misc	`conf`	Lessons Learned from an EHR-Based Population Health Datamart: Southeastern Diabetes Initiative (SEDI). AMIA Ursula A. Rogers, Shelley A. Rusincovitch, Matthew Phelan, Nigel B. Neely, Benjamin Alan Goldstein
2017	J	`jnl`	Assessing electronic health record phenotypes against gold-standard diagnostic criteria for diabetes mellitus. J. Am. Medical Informatics Assoc. 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
2017	—	`conf`	Informed Presence Bias in the Analysis of Electronic Health Records. CRI Benjamin Alan Goldstein, Matthew Phelan, Nrupen Bhavsar
2017	J	`jnl`	Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review. J. Am. Medical Informatics Assoc. Benjamin Alan Goldstein, Ann Marie Navar, Michael J. Pencina, John P. A. Ioannidis
2017	J	`jnl`	Predicting mortality over different time horizons: which data elements are needed? J. Am. Medical Informatics Assoc. Benjamin Alan Goldstein, Michael J. Pencina, Maria E. Montez-Rath, Wolfgang C. Winkelmayer
2016	—	`conf`	A Systematic Review of Using Electronic Heath Records to Predict Clinical Events: Assessment of Opportunities and Challenges. CRI Benjamin Alan Goldstein, Ann Marie Navar, Michael J. Pencina, John P. A. Ioannidis
2015	Misc	`conf`	A Simulation Framework for Longitudinal Electronic Health Records Data. AMIA Matthew Phelan, Benjamin Alan Goldstein
2015	J	`jnl`	Classifying individuals based on a densely captured sequence of vital signs: An example using repeated blood pressure measurements during hemodialysis treatment. J. Biomed. Informatics Benjamin Alan Goldstein, Tara I. Chang, Wolfgang C. Winkelmayer
2013	Misc	`conf`	Changes during dialysis captured in electronic health records help predict near-term risk of sudden cardiac death. AMIA Benjamin Alan Goldstein, Wolfgang C. Winkelmayer, Themistocles L. Assimes