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Ben J. Marafino
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2020 – today
- 2021
- [j3]Minh Nguyen, Conor K. Corbin, Tiffany Eulalio, Nicolai P. Ostberg, Gautam Machiraju, Ben J. Marafino, Michael Baiocchi, Christian Rose, Jonathan H. Chen:
Developing machine learning models to personalize care levels among emergency room patients for hospital admission. J. Am. Medical Informatics Assoc. 28(11): 2423-2432 (2021) - [c3]Ben J. Marafino, Alejandro Schuler, Vincent X. Liu, Art B. Owen, Gabriel J. Escobar, Michael Baiocchi:
Integrating Evaluations of Predictive Algorithm-Driven Interventions into Clinical Workflows with the Dynamic Discontinuity Deployment Design. AMIA 2021 - [c2]Minh Nguyen, Nicolai P. Ostberg, Conor K. Corbin, Tiffany Eulalio, Gautam Machiraju, Ben J. Marafino, Michael Baiocchi, Christian Rose, Jonathan H. Chen:
Predicting Level of Care for Emergency Hospital Admissions to Optimize Triage. AMIA 2021
2010 – 2019
- 2019
- [c1]Stephen Pfohl, Ben J. Marafino, Adrien Coulet, Fátima Rodriguez, Latha Palaniappan, Nigam H. Shah:
Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk. AIES 2019: 271-278 - 2018
- [i1]Stephen Pfohl, Ben J. Marafino, Adrien Coulet, Fátima Rodriguez, Latha Palaniappan, Nigam H. Shah:
Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk. CoRR abs/1809.04663 (2018) - 2015
- [j2]Ben J. Marafino, W. John Boscardin, R. Adams Dudley:
Efficient and sparse feature selection for biomedical text classification via the elastic net: Application to ICU risk stratification from nursing notes. J. Biomed. Informatics 54: 114-120 (2015) - 2014
- [j1]Ben J. Marafino, Jason M. Davies, Naomi S. Bardach, Mitzi L. Dean, R. Adams Dudley:
Research and applications: N-gram support vector machines for scalable procedure and diagnosis classification, with applications to clinical free text data from the intensive care unit. J. Am. Medical Informatics Assoc. 21(5): 871-875 (2014)
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