Mary Regina Boland

发表

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

Rui Duan, Jason H. Moore, Mary Regina Boland, 2018, PSB.

Design and Evaluation of a Bacterial Clinical Infectious Diseases Ontology

Chunhua Weng, Mary Regina Boland, Claire L. Gordon, 2013, AMIA.

An Active Learning Framework for Efficient Condition Severity Classification

Yuval Shahar, George Hripcsak, Yuval Elovici, 2015, AIME.

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

George Hripcsak, Suzanne Bakken, Chunhua Weng, 2013, J. Biomed. Informatics.

An Initial Log Analysis of Usage Patterns on a Research Networking System

Chunhua Weng, Suzanne Bakken, Mary Regina Boland, 2012, Clinical and translational science.

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

Nicholas P. Tatonetti, Mary Regina Boland, Konrad J. Karczewski, 2017, PLoS Comput. Biol..

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

George Hripcsak, Nicholas P. Tatonetti, Mary Regina Boland, 2015, Journal of Biomedical Semantics.

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

George Hripcsak, Nicholas P. Tatonetti, Mary Regina Boland, 2015, J. Am. Medical Informatics Assoc..

PSB 2019 Workshop on Text Mining and Visualization for Precision Medicine.

Jingcheng Du, Zhiyong Lu, Yong Chen, 2019, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

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

Lisiane Pruinelli, Raymond Francis Sarmiento, Yun Jiang, 2017, J. Am. Medical Informatics Assoc..

The digital revolution in phenotyping

Olivier Bodenreider, Michel Dumontier, Hongfang Liu, 2015, Briefings Bioinform..

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

Graciela Gonzalez-Hernandez, Mary Regina Boland, Snigdha Alur-Gupta, 2019, BioData Mining.

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

Mary Regina Boland, Silvia P. Canelón, 2019, AMIA.

EliXR-TIME: A Temporal Knowledge Representation for Clinical Research Eligibility Criteria

Chunhua Weng, Samson W. Tu, Mary Regina Boland, 2012, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

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

Mary Regina Boland, Aditya Kashyap, John H. Holmes, 2018, J. Am. Medical Informatics Assoc..

EliXR: an approach to eligibility criteria extraction and representation

Xiaoying Wu, Chunhua Weng, Stephen B. Johnson, 2011, J. Am. Medical Informatics Assoc..

Using Software to Elicit User Needs for Clinical Research Visit Scheduling

Chunhua Weng, Mary Regina Boland, Suzanne Bakken, 2014, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

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

Suzanne Bakken, Chunhua Weng, Mary Regina Boland, 2014, J. Biomed. Informatics.

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

Zixuan Liu, Mary Regina Boland, Martijn J Schuemie, 2019, J. Am. Medical Informatics Assoc..

Clustering clinical trials with similar eligibility criteria features

Tianyong Hao, Chunhua Weng, Mary Regina Boland, 2014, J. Biomed. Informatics.

Characterization of the Biomedical Query Mediation Process

Julia Hirschberg, Chunhua Weng, James J. Cimino, 2013, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Construction of PEPPER: Prenatal Exposure Pubmed ParsER

Mary Regina Boland, Aditya Kashyap, John H. Holmes, 2018, AMIA.

Improving condition severity classification with an efficient active learning based framework

Yuval Shahar, George Hripcsak, Yuval Elovici, 2016, J. Biomed. Informatics.

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

Li Li, Phung Anh Nguyen, Yu-Chuan Li, 2017, J. Am. Medical Informatics Assoc..

A Method for Probing Disease Relatedness Using Common Clinical Eligibility Criteria

Riccardo Miotto, Chunhua Weng, Mary Regina Boland, 2013, MedInfo.

Preparing next-generation scientists for biomedical big data: artificial intelligence approaches.

Mary Regina Boland, Blanca E Himes, John H Holmes, 2019, Personalized medicine.

Systems biology approaches for identifying adverse drug reactions and elucidating their underlying biological mechanisms

Mary Regina Boland, Joseph D. Romano, Tal Lorberbaum, 2016, Wiley interdisciplinary reviews. Systems biology and medicine.

Quality of Race and Ethnicity Data in Electronic Health Records

David K. Vawdrey, Adler J. Perotte, Fernanda Polubriaginof, 2016, CRI.

Advanced Methods for Big Data Analytics in Women's Health

Graciela Gonzalez-Hernandez, Mary Regina Boland, Natalia Villanueva-Rosales, 2020, PSB.

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

Mary Regina Boland, Lena Davidson, M. Boland, 2021, Briefings Bioinform..

399 Using Machine Learning to Inform Extraction of Clinical Data from Sleep Study Reports

Mary Regina Boland, Brendan Keenan, Bethany Staley, 2021 .

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

Mary Regina Boland, Silvia P. Canelón, M. Boland, 2020, PSB.

Replicating Cardiovascular Condition-Birth Month Associations

Li Li, Riccardo Miotto, Nicholas P. Tatonetti, 2016, Scientific Reports.

Using narratives as a source to automatically learn phenotype models

George Hripcsak, Mary Regina Boland, Nigam H. Shah, 2014 .

Development of A Machine Learning Algorithm to Classify Drugs Of Unknown Fetal Effect

Fernanda Polubriaginof, Nicholas P. Tatonetti, Mary Regina Boland, 2017, Scientific Reports.

Are All Vaccines Created Equal? Using Electronic Health Records to Discover Vaccines Associated With Clinician-Coded Adverse Events

Mary Regina Boland, Nicholas P Tatonetti, N. Tatonetti, 2015, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Climate Classification is an Important Factor in Assessing Quality-of-Care Across Hospitals

Mary Regina Boland, Pierre Gentine, Nicholas P Tatonetti, 2017, Scientific Reports.

A Computational Drug Repositioning Approach for Targeting Oncogenic Transcription Factors.

Mary Regina Boland, Tal Lorberbaum, Olivier Elemento, 2016, Cell reports.