Mary Regina Boland

According to our database, Mary Regina Boland authored at least 36 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A deep learning method to detect opioid prescription and opioid use disorder from electronic health records.

Aditya Kashyap, Chris Callison-Burch, Mary Regina Boland

Int. J. Medical Informatics, March, 2023

2022

Neighborhood deprivation increases the risk of Post-induction cesarean delivery.

Jessica R. Meeker, Heather Burris, Ray Bai, Lisa Levine, Mary Regina Boland

J. Am. Medical Informatics Assoc., 2022

Informatics for sex- and gender-related health: understanding the problems, developing new methods, and designing new solutions.

Mary Regina Boland, Noémie Elhadad, Wanda Pratt

J. Am. Medical Informatics Assoc., 2022

2021

Harnessing electronic health records to study emerging environmental disasters: a proof of concept with perfluoroalkyl substances (PFAS).

Mary Regina Boland, Lena M. Davidson, Silvia P. Canelón, Jessica R. Meeker, Trevor M. Penning, John H. Holmes, Jason H. Moore

npj Digit. Medicine, 2021

Development and evaluation of MADDIE: Method to Acquire Delivery Date Information from Electronic health records.

Silvia P. Canelón, Heather Burris, Lisa Levine, Mary Regina Boland

Int. J. Medical Informatics, 2021

Towards deep phenotyping pregnancy: a systematic review on artificial intelligence and machine learning methods to improve pregnancy outcomes.

Lena M. Davidson, Mary Regina Boland

Briefings Bioinform., 2021

Not All C-sections Are the Same: Investigating Emergency vs. Elective C-section deliveries as an Adverse Pregnancy Outcome.

Silvia P. Canelón, Mary Regina Boland

Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021

Advanced Methods for Big Data Analytics in Women's Health.

Mary Regina Boland, Karin Verspoor, Maricel G. Kann, Su Golder, Lisa Levine, Karen O'Conner, Natalia Villanueva-Rosales, Graciela Gonzalez-Hernandez

Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021

2020

Learning from local to global: An efficient distributed algorithm for modeling time-to-event data.

Rui Duan, Chongliang Luo, Martijn J. Schuemie, Jiayi Tong, C. Jason Liang, Howard H. Chang, Mary Regina Boland, Jiang Bian, Hua Xu, John H. Holmes, Christopher B. Forrest, Sally C. Morton, Jesse A. Berlin, Jason H. Moore, Kevin B. Mahoney, Yong Chen

J. Am. Medical Informatics Assoc., 2020

Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm.

Rui Duan, Mary Regina Boland, Zixuan Liu, Yue Liu, Howard H. Chang, Hua Xu, Haitao Chu, Christopher H. Schmid, Christopher B. Forrest, John H. Holmes, Martijn J. Schuemie, Jesse A. Berlin, Jason H. Moore, Yong Chen

J. Am. Medical Informatics Assoc., 2020

The CLASSE GATOR (CLinical Acronym SenSE disambiGuATOR): A Method for predicting acronym sense from neonatal clinical notes.

Aditya Kashyap, Heather Burris, Chris Callison-Burch, Mary Regina Boland

Int. J. Medical Informatics, 2020

WellExplorer: an integrative resource linking hydraulic fracturing chemicals with hormonal pathways and geographic location.

Owen Wetherbee, Jessica R. Meeker, Caroline Devoto, Trevor M. Penning, Jason H. Moore, Mary Regina Boland

Database J. Biol. Databases Curation, 2020

Ideas for how informaticians can get involved with COVID-19 research.

Jason H. Moore, Ian Barnett, Mary Regina Boland, Yong Chen, George Demiris, Graciela Gonzalez-Hernandez, Daniel S. Herman, Blanca E. Himes, Rebecca A. Hubbard, Dokyoon Kim, Jeffrey S. Morris, Danielle L. Mowery, Marylyn D. Ritchie, Li Shen, Ryan J. Urbanowicz, John H. Holmes

BioData Min., 2020

Development and Evaluation of an Algorithm to Automatically Extract Delivery Episodes from Electronic Health Records.

Silvia P. Canelón, Heather Burris, Lisa Levine, Mary Regina Boland

Proceedings of the AMIA 2020, 2020

Harnessing Electronic Health Records to Study Emerging Environmental Disasters: A Proof of Concept with PFAS.

Mary Regina Boland, Lena M. Davidson, Silvia P. Canelón, Jessica R. Meeker, Trevor M. Penning, John H. Holmes, Jason H. Moore

Proceedings of the AMIA 2020, 2020

2019

Disease associations depend on visit type: results from a visit-wide association study.

Mary Regina Boland, Snigdha Alur-Gupta, Lisa Levine, Peter Gabriel, Graciela Gonzalez-Hernandez

BioData Min., 2019

Text Mining and Machine Learning for Precision Medicine.

Graciela Gonzalez, Zhiyong Lu, Robert Leaman, Davy Weissenbacher, Mary Regina Boland, Yong Chen, Jingcheng Du, Juliane Fluck, Casey S. Greene, John H. Holmes, Aditya Kashyap, Rikke Linnemann Nielsen, Zhengqing Ouyang, Sebastian Schaaf, Jaclyn N. Taroni, Cui Tao, Yuping Zhang, Hongfang Liu

Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

ODAL: A one-shot distributed algorithm to perform logistic regressions on electronic health records data from multiple clinical sites.

Rui Duan, Mary Regina Boland, Jason H. Moore, Yong Chen

Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

Investigating Pregnancy-Related Health Outcomes Among Patients with Sickle Cell Disease and Linking with Health Disparities.

Silvia P. Canelón, Mary Regina Boland

Proceedings of the AMIA 2019, 2019

2018

Uncovering exposures responsible for birth season - disease effects: a global study.

Mary Regina Boland, Pradipta Parhi, Li Li, Riccardo Miotto, Robert J. Carroll, Usman Iqbal, Phung-Anh (Alex) Nguyen, Martijn J. Schuemie, Seng Chan You, Donahue Smith, Sean D. Mooney, Patrick B. Ryan, Yu-Chuan (Jack) Li, Rae Woong Park, Joshua C. Denny, Joel T. Dudley, George Hripcsak, Pierre Gentine, Nicholas P. Tatonetti

J. Am. Medical Informatics Assoc., 2018

Development and validation of the PEPPER framework (Prenatal Exposure PubMed ParsER) with applications to food additives.

Mary Regina Boland, Aditya Kashyap, Jiadi Xiong, John H. Holmes, Scott Lorch

J. Am. Medical Informatics Assoc., 2018

Construction of PEPPER: Prenatal Exposure Pubmed ParsER.

Mary Regina Boland, Aditya Kashyap, Jiadi Xiong, John H. Holmes, Scott Lorch

Proceedings of the AMIA 2018, 2018

2017

Ten Simple Rules to Enable Multi-site Collaborations through Data Sharing.

Mary Regina Boland, Konrad J. Karczewski, Nicholas P. Tatonetti

PLoS Comput. Biol., 2017

Biomedical informatics advancing the national health agenda: the AMIA 2015 year-in-review in clinical and consumer informatics.

Kirk Roberts, Mary Regina Boland, Lisiane Pruinelli, Jina J. Dcruz, Andrew B. L. Berry, Mattias Georgsson, Rebecca Hazen, Raymond Francis Sarmiento, Uba Backonja, Kun-Hsing Yu, Yun Jiang, Patricia Flatley Brennan

J. Am. Medical Informatics Assoc., 2017

2016

Improving condition severity classification with an efficient active learning based framework.

Nir Nissim, Mary Regina Boland, Nicholas P. Tatonetti, Yuval Elovici, George Hripcsak, Yuval Shahar, Robert Moskovitch

J. Biomed. Informatics, 2016

The digital revolution in phenotyping.

Anika Oellrich, Nigel Collier, Tudor Groza, Dietrich Rebholz-Schuhmann, Nigam Shah, Olivier Bodenreider, Mary Regina Boland, Ivo I. Georgiev, Hongfang Liu, Kevin M. Livingston, Augustin Luna, Ann-Marie Mallon, Prashanti Manda, Peter N. Robinson, Gabriella Rustici, Michelle Simon, Liqin Wang, Rainer Winnenburg, Michel Dumontier

Briefings Bioinform., 2016

Quality of Race and Ethnicity Data in Electronic Health Records.

Fernanda Polubriaginof, Mary Regina Boland, Adler J. Perotte, David K. Vawdrey

Proceedings of the Summit on Clinical Research Informatics, 2016

2015

Birth month affects lifetime disease risk: a phenome-wide method.

Mary Regina Boland, Zach Shahn, David Madigan, George Hripcsak, Nicholas P. Tatonetti

J. Am. Medical Informatics Assoc., 2015

Development and validation of a classification approach for extracting severity automatically from electronic health records.

Mary Regina Boland, Nicholas P. Tatonetti, George Hripcsak

J. Biomed. Semant., 2015

An Active Learning Framework for Efficient Condition Severity Classification.

Nir Nissim, Mary Regina Boland, Robert Moskovitch, Nicholas P. Tatonetti, Yuval Elovici, Yuval Shahar, George Hripcsak

Proceedings of the Artificial Intelligence in Medicine, 2015

2014

Clustering clinical trials with similar eligibility criteria features.

Tianyong Hao, Alexander Rusanov, Mary Regina Boland, Chunhua Weng

J. Biomed. Informatics, 2014

From expert-derived user needs to user-perceived ease of use and usefulness: A two-phase mixed-methods evaluation framework.

Mary Regina Boland, Alexander Rusanov, Yat So, Carlos Lopez-Jimenez, Linda Busacca, Richard C. Steinman, Suzanne Bakken, J. Thomas Bigger, Chunhua Weng

J. Biomed. Informatics, 2014

2013

An Integrated Model for Patient Care and Clinical Trials (IMPACT) to support clinical research visit scheduling workflow for future learning health systems.

Chunhua Weng, Yu Li, Solomon Berhe, Mary Regina Boland, Junfeng Gao, Gregory William Hruby, Richard C. Steinman, Carlos Lopez-Jimenez, Linda Busacca, George Hripcsak, Suzanne Bakken, J. Thomas Bigger

J. Biomed. Informatics, 2013

A Method for Probing Disease Relatedness Using Common Clinical Eligibility Criteria.

Mary Regina Boland, Riccardo Miotto, Chunhua Weng

Proceedings of the MEDINFO 2013, 2013

Design and Evaluation of a Bacterial Clinical Infectious Diseases Ontology.

Claire L. Gordon, Stephanie Pouch, Lindsay G. Cowell, Mary Regina Boland, Heather L. Platt, Albert Goldfain, Chunhua Weng

Proceedings of the AMIA 2013, 2013

2011

EliXR: an approach to eligibility criteria extraction and representation.

Chunhua Weng, Xiaoying Wu, Zhihui Luo, Mary Regina Boland, Dimitri Theodoratos, Stephen B. Johnson

J. Am. Medical Informatics Assoc., 2011