Mary Regina Boland
Affiliations: | 2013-2017 | Biomedical Informatics | Columbia University, New York, NY |
| 2017- | Biomedical Informatics | University of Pennsylvania Perelman School of Medicine |
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"Mary Boland"
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Publications
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| Davidson LM, Boland MR. (2023) Investigating Three Classification Methods for Per/Poly-Fluoroalkyl Substance (PFAS) Exposure from Electronic Health Records And Potential for Bias. Amia Joint Summits On Translational Science Proceedings. Amia Joint Summits On Translational Science. 2023: 52-61 |
| Mari KE, Yang N, Boland MR, et al. (2023) Assessing Racial Residential Segregation as a Risk Factor for Severe Maternal Morbidity. Annals of Epidemiology |
| Meeker JR, Burris H, Boland MR. (2021) An algorithm to identify residential mobility from electronic health-record data. International Journal of Epidemiology. 50: 2048-2057 |
| Meeker JR, Burris H, Boland MR. (2021) An algorithm to identify residential mobility from electronic health-record data. International Journal of Epidemiology. 50: 2048-2057 |
| Meeker JR, Burris H, Boland MR. (2021) An algorithm to identify residential mobility from electronic health-record data. International Journal of Epidemiology. 50: 2048-2057 |
| Meeker JR, Burris HH, Bai R, et al. (2021) Neighborhood deprivation increases the risk of Post-induction cesarean delivery. Journal of the American Medical Informatics Association : Jamia |
| Boland MR, Liu J, Balocchi C, et al. (2021) Association of Neighborhood-Level Factors and COVID-19 Infection Patterns in Philadelphia Using Spatial Regression. Amia ... Annual Symposium Proceedings. Amia Symposium. 2021: 545-554 |
| Boland MR, Davidson LM, Canelón SP, et al. (2021) Harnessing electronic health records to study emerging environmental disasters: a proof of concept with perfluoroalkyl substances (PFAS). Npj Digital Medicine. 4: 122 |
| Meeker JR, Canelón SP, Bai R, et al. (2021) Individual-Level and Neighborhood-Level Risk Factors for Severe Maternal Morbidity. Obstetrics and Gynecology. 137: 847-854 |
| Canelón SP, Burris HH, Levine LD, et al. (2020) Development and evaluation of MADDIE: Method to Acquire Delivery Date Information from Electronic health records. International Journal of Medical Informatics. 145: 104339 |