EliXR: an approach to eligibility criteria extraction and representation. - Chunhua Weng; Xiaoying Wu; Zhihui Luo 001; Mary Regina Boland; Dimitri Theodoratos; Stephen B. Johnson (J. Am. Medical Informatics Assoc., 2011)

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 (AMIA, 2013)

A Method for Probing Disease Relatedness Using Common Clinical Eligibility Criteria. - Mary Regina Boland; Riccardo Miotto; Chunhua Weng (MedInfo, 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)

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)

Clustering clinical trials with similar eligibility criteria features. - Tianyong Hao; Alexander Rusanov; Mary Regina Boland; Chunhua Weng (J. Biomed. Informatics, 2014)

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 (AIME, 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)

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)

Quality of Race and Ethnicity Data in Electronic Health Records. - Fernanda Polubriaginof; Mary Regina Boland; Adler J. Perotte; David K. Vawdrey (CRI, 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; et al. (Briefings Bioinform., 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)

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)

Ten Simple Rules to Enable Multi-site Collaborations through Data Sharing. - Mary Regina Boland; Konrad J. Karczewski; Nicholas P. Tatonetti (PLoS Comput. Biol., 2017)

Construction of PEPPER: Prenatal Exposure Pubmed ParsER. - Mary Regina Boland; Aditya Kashyap; Jiadi Xiong; John H. Holmes; Scott Lorch (AMIA, 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)

Uncovering exposures responsible for birth season - disease effects: a global study. - Mary Regina Boland; Pradipta Parhi; Li Li 062; 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; et al. (J. Am. Medical Informatics Assoc., 2018)

Investigating Pregnancy-Related Health Outcomes Among Patients with Sickle Cell Disease and Linking with Health Disparities. - Silvia P. Canelón; Mary Regina Boland (AMIA, 2019)

ODAL: A one-shot distributed algorithm to perform logistic regressions on electronic health records data from multiple clinical sites. - Rui Duan 004; Mary Regina Boland; Jason H. Moore; Yong Chen 016 (PSB, 2019)

Text Mining and Machine Learning for Precision Medicine. - Graciela Gonzalez 001; Zhiyong Lu; Robert Leaman; Davy Weissenbacher; Mary Regina Boland; Yong Chen 016; Jingcheng Du; Juliane Fluck; Casey S. Greene; John H. Holmes; Aditya Kashyap; Rikke Linnemann Nielsen; et al. (PSB, 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)

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 (AMIA, 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 (AMIA, 2020)

Ideas for how informaticians can get involved with COVID-19 research. - Jason H. Moore; Ian Barnett; Mary Regina Boland; Yong Chen 016; George Demiris; Graciela Gonzalez-Hernandez; Daniel S. Herman; Blanca E. Himes; Rebecca A. Hubbard; Dokyoon Kim; Jeffrey S. Morris; Danielle L. Mowery; et al. (BioData Min., 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)

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)

Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm. - Rui Duan 004; Mary Regina Boland; Zixuan Liu; Yue Liu; Howard H. Chang; Hua Xu 001; Haitao Chu; Christopher H. Schmid; Christopher B. Forrest; John H. Holmes; Martijn J. Schuemie; Jesse A. Berlin; et al. (J. Am. Medical Informatics Assoc., 2020)

Learning from local to global: An efficient distributed algorithm for modeling time-to-event data. - Rui Duan 004; Chongliang Luo; Martijn J. Schuemie; Jiayi Tong; C. Jason Liang; Howard H. Chang; Mary Regina Boland; Jiang Bian 001; Hua Xu 001; John H. Holmes; Christopher B. Forrest; Sally C. Morton; et al. (J. Am. Medical Informatics Assoc., 2020)

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 (PSB, 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 (PSB, 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)

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)

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)

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)

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)

Scalable high-dimensional Bayesian varying coefficient models with unknown within-subject covariance. - Ray Bai; Mary Regina Boland; Yong Chen 016 (J. Mach. Learn. Res., 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, 2023)

Development, evaluation and comparison of machine learning algorithms for predicting in-hospital patient charges for congestive heart failure exacerbations, chronic obstructive pulmonary disease exacerbations and diabetic ketoacidosis. - Monique Arnold; Lathan Liou; Mary Regina Boland (BioData Min., 2024)

One-shot distributed algorithms for addressing heterogeneity in competing risks data across clinical sites. - Dazheng Zhang; Jiayi Tong; Ronen Stein; Yiwen Lu; Naimin Jing; Yuchen Yang; Mary Regina Boland; Chongliang Luo; Robert N. Baldassano; Raymond J. Carroll; Christopher B. Forrest; Yong Chen 016 (J. Biomed. Informatics, 2024)

Geospatial analysis of short sleep duration and cognitive disability in US adults: a multi-state study using machine learning techniques. - Tue T. Te; Alex A. T. Bui; Constance H. Fung; Mary Regina Boland (BioData Min., 2025)