default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBenjamin Goldstein 0001
Person information
- affiliation: Duke University, Department of Biomedical Engineering, Durham, NC, USA
Other persons with the same name
- Benjamin Goldstein — disambiguation page
Other persons with a similar name
- Benjamin Spetter-Goldstein — Boston University, MA, USA
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2025
[j21]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:
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. 32(1): 51-62 (2025)- 2024
- [j20]Nicoleta J. Economou-Zavlanos, Sophia Bessias, Michael P. Cary, Armando Bedoya, Benjamin Goldstein, John Eric Jelovsek, Cara O'Brien, Nancy Walden, Matthew Elmore, Amanda B. Parrish, Scott Elengold, Kay S. Lytle, Suresh Balu, Michael E. Lipkin, Afreen Idris Shariff, Michael Gao, David Leverenz, Ricardo Henao, David Y. Ming, David M. Gallagher, Michael J. Pencina, Eric G. Poon:
Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare. J. Am. Medical Informatics Assoc. 31(3): 705-713 (2024) - [j19]Wei A. Huang, Matthew Engelhard, Marika Coffman, Elliot D. Hill, Qin Weng, Abby Scheer, Gary Maslow, Ricardo Henao, Geraldine Dawson, Benjamin Alan Goldstein:
A conditional multi-label model to improve prediction of a rare outcome: An illustration predicting autism diagnosis. J. Biomed. Informatics 157: 104711 (2024) - [j18]Minghui Sun, Matthew M. Engelhard, Armando Bedoya, Benjamin Goldstein:
Incorporating informatively collected laboratory data from EHR in clinical prediction models. BMC Medical Informatics Decis. Mak. 24(4): 206 (2024) - [c11]Meng Xia, Jonathan Wilson, Benjamin Goldstein, Ricardo Henao:
Contrastive Learning for Clinical Outcome Prediction with Partial Data Sources. ICML 2024 - 2023
- [i8]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 abs/2302.01536 (2023) - [i7]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 abs/2304.03779 (2023) - 2022
- [j17]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): 937-943 (2022) - [j16]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): 1631-1636 (2022) - [j15]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: 103959 (2022) - [j14]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: 104072 (2022) - [j13]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): 84 (2022) - [j12]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): 108 (2022) - [j11]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): 110 (2022) - [j10]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): 128 (2022) - [j9]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): 100452 (2022) - 2021
- [c10]Zidi Xiu, Chenyang Tao, Michael Gao, Connor Davis, Benjamin Alan Goldstein, Ricardo Henao:
Variational Disentanglement for Rare Event Modeling. AAAI 2021: 10469-10477 - [c9]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 - [c8]Mengying Yan, Michael J. Pencina, Benjamin Alan Goldstein:
Understanding Algorithmic Bias in Clinical Prediction Models. AMIA 2021 - [c7]Junya Chen, Zidi Xiu, Benjamin Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao:
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer. NeurIPS 2021: 21229-21243 - [i6]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 abs/2106.06957 (2021) - [i5]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 abs/2107.06039 (2021) - [i4]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 abs/2110.02484 (2021) - 2020
- [j8]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): 783-787 (2020) - [i3]Zidi Xiu, Chenyang Tao, Michael Gao, Connor Davis, Benjamin Alan Goldstein, Ricardo Henao:
Variational Disentanglement for Rare Event Modeling. CoRR abs/2009.08541 (2020) - [i2]Junya Chen, Zidi Xiu, Benjamin Alan Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao:
Supercharging Imbalanced Data Learning With Causal Representation Transfer. CoRR abs/2011.12454 (2020)
2010 – 2019
- 2019
- [j7]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): 429-437 (2019) - [j6]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): 1609-1617 (2019) - 2018
- [j5]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): 924-930 (2018) - [c6]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 - [c5]Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Courtney Page, Benjamin Alan Goldstein, Lawrence Carin, Ricardo Henao:
Adversarial Time-to-Event Modeling. ICML 2018: 734-743 - [i1]Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Courtney Page, Benjamin Alan Goldstein, Lawrence Carin, Ricardo Henao:
Adversarial Time-to-Event Modeling. CoRR abs/1804.03184 (2018) - 2017
- [j4]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): 176-181 (2017) - [j3]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): 198-208 (2017) - [j2]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): e121-e128 (2017) - [c4]Benjamin Alan Goldstein, Matthew Phelan, Nrupen Bhavsar:
Informed Presence Bias in the Analysis of Electronic Health Records. CRI 2017 - 2016
- [c3]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 - 2015
- [j1]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: 219-224 (2015) - [c2]Matthew Phelan, Benjamin Alan Goldstein:
A Simulation Framework for Longitudinal Electronic Health Records Data. AMIA 2015 - 2013
- [c1]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
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-09 19:33 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
