Perelman School of Medicine at the University of Pennsylvania

Boland Lab

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Publications

For a complete listing of all of my publications along with citation information, please see my Google Scholar Profile. In addition, my NCBI profile page contains a list of publications and my ORCID.


Journal Publications

  1. RB Morse, AC Breitzin, SP Canelón, BA D'Alonzo, ALC Schneider, MR Boland. Design and Evaluation of a Postpartum Depression Ontology. Applied Clinical Informatics. 2022; In press.
  2. MR Boland, N Elhadad, W Pratt. Informatics for Sex- and Gender-Related Health: Understanding the Problems, Developing New Methods and Designing New Solutions. Journal of American Medical Informatics Association (JAMIA). 2021; In press.
  3. JR Meeker, HH Burris, R Bai, LD Levine, MR Boland. Neighborhood deprivation increases the risk of post-induction cesarean delivery. Journal of American Medical Informatics Association (JAMIA). 2021; In press.
  4. S Canelon, S Butts, MR Boland. Evaluation of Stillbirth Among Pregnant People with Sickle Cell Trait. JAMA Network Open. 2021; In press.
  5. MR Boland, L Davidson, S Canelon, J Meeker, T Penning, JH Holmes, J Moore. Harnessing Electronic Health Records to Study Emerging Environmental Disasters: A Proof of Concept with Perfluoralkyl Substances (PFAS). Nature Digital Medicine. 2021; In press.
  6. JH Holmes, J Beinlich, MR Boland, K Bowles, Y Chen, T Cook, G Demiris, M Draugelis, L Fluharty, P Gabriel, R Grundmeier, C Hanson, D Herman, B Himes, R Hubbard, C Kahn Jr., D Kim, R Koppel, Q Long, N Mirkovic, J Morris, D Mowery, M Ritchie, R Urbanowicz, JH Moore. Why is the Electronic Health Record so Challenging for Research and Clinical Care? Methods of Information in Medicine. 2021; In press.
  7. JR Meeker, HH Burris, MR Boland. An Algorithm to Identify Residential Mobility from Electronic Health Record Data. International Journal of Epidemiology. 2021; In press.
  8. JR Meeker, SP Canelon, R Bai, LD Levine, MR Boland. Individual- and Neighborhood-Level Risk Factors for Severe Maternal Morbidity. Obstetrics & Gynecology. 2021; In press.
  9. L Davidson, MR Boland. Towards Deep Phenotyping Pregnancy: A Systematic Review on Artificial Intelligence and Machine Learning Methods to Improve Pregnancy Outcomes. Briefings in Bioinformatics. 2021; In press.
  10. S Canelon, HH Burris, LD Levine, MR Boland. Development and Evaluation of MADDIE: Method to Acquire Delivery Date Information from Electronic Health Records. International Journal of Medical Informatics. 2020. In press.
  11. S Alur-Gupta, MR Boland, K Barnhart, M Sammel, A Dokras. Postpartum Complications Increased in Women with Polycystic Ovary Syndrome. American Journal of Obstetrics & Gynecology. 2021; 224(3): 280.e1-280.e13
  12. O Wetherbee, J Meeker, C DeVoto, T Penning, J Moore, MR Boland. WellExplorer: An Integrative Resource Linking Hydraulic Fracturing Chemicals with Targeted Proteins, Hormonal Pathways and Geographic LocationDatabase. 2020; In press.
  13. L Davidson, MR Boland. Enabling Pregnant Women and their Physicians to Make Informed Medication Decisions Using Artificial Intelligence. Journal of Pharmacokinetics and Pharmacodynamics. 2020; In Press.
  14. JH Moore, I Barnett, MR Boland, Y Chen, G Demiris, G Gonzalez-Hernandez, DS Herman, BE Himes,RA Hubbard, D Kim, JS Morris, DL Mowery, MD Ritchie, L Shen, R Urbanowicz, JH Holmes. Ideas for how informaticians can get involved with COVID-19 research. BioData Mining. 2020. In press.
  15. S Canelon, MR Boland. A Systematic Literature Review on Factors Affecting the Timing of Menarche: Potential for Climate Change to Impact Women's Health. International Journal of Environmental Research and Public Health. 2020. In press.
  16. R Bai, GE Moran, J Antonelli, Y Chen*, MR Boland*Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models. Journal of American Statistical Association (JASA) Applications. 2020; In press. *Joint Senior Author
  17. A Kashyap, H Burris, C Callison-Burch, MR Boland. The CLASSE GATOR (CLinical Acronym SenSE disambiGuATOR): A Method for Predicting Acronym Sense from Neonatal Clinical Notes. International Journal of Medical Informatics. 2020. In press.
  18. MR Boland, M Fieder, LH John, P Rijnbeek, S Huber. Female Reproductive Performance and Maternal Birth Month: A Systematic Review and Meta-Analysis Exploring Multiple Seasonal Mechanisms. Scientific Reports. 2020; 10:555.
  19. R Duan, C Luo, MJ Schuemie, J Tong, JC Liang, HH Chang, MR Boland, J Bian, H Xu, JH Holmes, CB Forrest, SC Morton, JA Berlin, JH Moore, KB Mahoney, Y Chen. Learning from local to global-an efficient distributed algorithm for modeling time-to-event data. J Am Med Inform Assoc (JAMIA). 2020. In press.
  20. MR Boland, ML Casal, M Kraus, AR Gelzer. Applied Veterinary Informatics: Development of a Semantic and Domain-Specific Method to Construct a Canine Data Repository. Scientific Reports. 2019; 9: 18641.
  21. R Duan, MR Boland, Z Liu, Y Liu, HH Chang, H Xu, H Chu, CH Schmid, CB Forrest, JH Holmes, MJ Schuemie, JA Berlin, JH Moore, Y Chen. Learning from Electronic Health Records Across Multiple Sites: A Communication Efficient and Privacy Preserving Distributed Algorithm. J Am Med Inform Assoc (JAMIA). 2019 In press.
  22. MR Boland, S Alar-Gupta, L Levine, P Gabriel, G Gonzalez. Disease Associations Depend on Visit Type: Results from a Visit-Wide Association Study. BioData Mining. 2019; 12(1):15.
  23. MR Boland, NP Tatonetti. Attention Deficit–Hyperactivity Disorder and Month of School Enrollment. NEJM 2019;380(7):692-693.
  24. J Moore, MR Boland, P Camara, G Gonzalez, B Himes, D Mowery, M Ritchie, L Shen, R Urbanowicz, J Holmes. Preparing next generation scientists for biomedical big data: Artificial intelligence approaches. Personalized Medicine. 2019
  25. MR Boland. A Model Investigating Environmental Factors that Play a Role in Female Fecundity or Birth Rate. PLOS ONE. 2018; In press.
  26. MR Boland, A Kashyap, J Xiong, JH Holmes, S Lorch. Development and Validation of the PEPPER Framework (Prenatal Exposure PubMed ParsER) with Applications to Food Additives. J Am Med Inform Assoc. 2018; In press.
  27. MR Boland,  MS Kraus, E Dziuk, AR Gelzer. Cardiovascular Disease Risk Varies by Birth Month in Canines. Scientific Reports; 2018; 8:7130. 
  28. MR Boland, F Polubriaginof, NP Tatonetti. Development of A Machine Learning Algorithm to Classify Drugs Of Unknown Fetal Effect. Scientific Reports. 2017; 7: 12839.
  29. MR Boland, P Parhi, L Li, R Miotto, R Carroll, U Iqbal, P-A Nguyen, M Schuemie, SC You, D Smith, S Mooney, P Ryan, Y-C Li, RW Park, J Denny, JT Dudley, G Hripcsak, P Gentine, NP Tatonetti. Uncovering exposures responsible for birth season – disease effects: a global study..J Am Med Inform Assoc. 2018; 25(3): 275-288. 
  30. MR Boland, P Parhi, P Gentine, NP Tatonetti. Climate Classification is an Important Factor in Assessing Quality-of-Care Across Hospitals. Scientific Reports. 2017; 7: 4948.
  31. MR Boland, K Karczewski, NP Tatonetti. Ten Simple Rules to Enable Multi-site Collaborations through Data Sharing. PLOS Computational Biology. 2017; 13 (1), e1005278.
  32. MR Boland, NP Tatonetti. Investigation of 7-DeHydroCholesterol Reductase Pathway to Elucidate Off-Target Prenatal Effects of Pharamceuticals: A Systematic Review. The Pharmacogenomics Journal. 2016; 16(5): 411–429.
  33. L Li*, MR Boland*, R Miotto*, NP Tatonetti, J Dudley. Replicating Cardiovascular Condition-Birth Month Associations. Scientific Reports.  2016; 6: 33166. *Joint Contribution First-Author.
  34. K Roberts, MR Boland, L Pruinelli, JD Cruz, A Berry, M Georgsson, R Hazen, RF Sarmiento, U Backonja, K-H Yu, Y Jiang, PF Brennan. Biomedical informatics advancing the national health agenda: The AMIA 2015 Year-in-Review in clinical & consumer informatics. J Am Med Inform Assoc. 2016; 24 (e1), e185-e190.
  35. K Gayvert, E Dardenne, C Cheung, MR Boland, T Lorberbaum, J Wanjala, Y Chen, M Rubin, NP Tatonetti, D Rickman, O Elemento. A Computational Drug Repositioning Approach for Targeting Oncogenic Transcription Factors. Cell Reports. 2016; 15 (11), 2348-2356.  
  36. N Nissim, MR Boland, NP Tatonetti, Y Elovici, G Hripcsak, Y Shahar, R Moskovitch. Improving Condition Severity Classification with an Efficient Active Learning Based Framework. Journal of biomedical informatics. 2016; 61, 44-54.
  37. MR Boland*, A Jacunski*, T Lorberbaum*, JD Romano, R Moskovitch, NP Tatonetti. Systems Biology Approaches for Identifying Adverse Drug Reactions and Elucidating Their Underlying Biological Mechanisms. WIREs Systems Biology and Medicine, 2016; 8 (2), 104-122. * Equal contribution first-author.
  38. A Oellrich*, N Collier*, T Groza*, D Rebholz-Schuhmann*, N Shah*, O Bodenreider, MR Boland, I Georgiev, H Liu, K Livingston, A Luna, A-M Mallon, P Manda, PN Robinson, G Rustici, M Simon, L Wang, R Winnenburg, M Dumontier. The digital revolution in phenotyping. Briefings in Bioinformatics, 2015; 17 (5), 819-830. * Equal contribution first-author. 
  39. MR Boland,  Z Shahn, D Madigan, G Hripcsak, NP Tatonetti. Birth Month Affects Lifetime Disease Risk: A Phenome-Wide Method.  Journal of the American Medical Informatics Association, 2015; 22(5):1042-1053. 
  40. BA Kidd, A Wroblewska, MR Boland, J Agudo, M Merad, NP Tatonetti, BD Brown, JT Dudley. Mapping the effects of drugs on the immune system. Nature Biotechnology. 2016; 34:47-54.
  41. MR Boland, NP Tatonetti, G Hripcsak. Development and Validation of a Classification Approach for Extracting Severity Automatically from Electronic Health Records. Journal of Biomedical Semantics, 2015; 6(14). Highly Accessed. 
  42. T Hao, A Rusanov, MR Boland, C Weng. Clustering clinical trials with similar eligibility features.  Journal of Biomedical Informatics, 2014;  52 : 112-120. 
  43. MR Boland, A Rusanov, Y So, Y Li, C Lopez-Jimenez, L Busacca, RC Steinman, S Bakken, JT Bigger, C Weng. 
From Expert-Derived User Needs to User-Perceived Usability and Usefulness: A Two-Phase Mixed-Methods Evaluation Framework, Journal of Biomedical Informatics, 2014; 52 : 141-150.
  44. MR Boland, G Hripcsak, Y Shen, WK Chung, C Weng. Defining a Comprehensive Verotype Using Electronic Health Records for Personalized Medicine. Journal of the American Medical Informatics Association, 2013; 20(e2)e232-8.
  45. C Weng, Y Li, S Berhe, MR Boland, J Gao, GW Hruby, RC Steinman, C Lopez Jimenez, L Busacca, G Hripcsak, S Bakken, JT Bigger. An Integrated Model for Patient Care and Clinical Trials (IMPACT) to Support Clinical Research Visit Scheduling Workflow for Future Learning Health Systems. Journal of Biomedical Informatics, 2013; 46 (4): 642-652. 
  46. MR Boland, R Miotto, J Gao, C Weng. Feasibility of feature-based indexing, clustering, and search of clinical trials: A case study of breast cancer trials from ClinicalTrials.gov. Methods of Information in Medicine, 2013; 52(5): 382-394. Bioportal Ontology
  47. MR Boland, G Hripcsak, DJ Albers, Y Wei, AB Wilcox, J Wei, J Li, S Lin, M Breene, R Myers, J Zimmerman, PN Papapanou, C Weng, Discovering Medical Conditions Associated with Periodontitis Using Linked Electronic Health Records. Journal of Clinical Periodontology, 2013; 40(5): 474-82. Top Paper in the "Practice of Informatics", 2013 AMIA Annual Year in Review
  48. MR Boland, S Trembowlski, S Bakken, C Weng, An Initial Log Analysis of Usage Patterns on a Research Networking System. Clinical and Translational Science, 2012; 5(4): 340-347. 
  49. C Weng, X Wu, Z Luo, MR Boland, D Theodoratos, SB Johnson, EliXR: An Approach to Eligibility Criteria Extraction and Representation. Journal of the American Medical Informatics Association. 2011; 18 Suppl 1:i116-i124. (Distinguished Paper of the 2011 AMIA Translational Summit Meeting).

Conference/Workshop Paper Proceedings

  1. S Tadlock, C Phillips, ML Casal, MC Kraus, AR Gelzer, MR Boland. Development of an Informatics Algorithm to Link Seasonal Infectious Diseases to Birth-Dependent Diseases Across Species: A Case Study with Osteosarcoma. AMIA Informatics Summit 2021; In press.
  2. MR Boland, J Liu, C Balocchi, JR Meeker, R Bai, I Mellis, D Mowery, D Herman. A Method to Link Neighborhood-Level Covariates to COVID-19 Infection Patterns in Philadelphia Using Spatial Regression. AMIA Informatics Summit 2021; In press.
  3. S Canelon, MR Boland. Not all C-sections Are the Same: Investigating Emergency vs. Election C-section Deliveries as an Adverse Pregnancy Outcome. Pacific Symposium on Biocomputing 2021; In press.
  4. MR Boland, K Verspoor, MG Kann, S Golder, L Levine, K O'Connor, N Villanueva-Rosales, G Gonzalez-Hernandez. Advanced Methods for Big Data Analytics in Women's Health. Pacific Symposium on Biocomputing 2021; In press.
  5. L Davidson, MR Boland. Comparative Analysis and Evaluation of State-of-the-Art Medication Mapping Tools to Transform a Local Medication Terminology to RxNorm. AMIA Informatics Summit 2020, Houston, Tx, USA (full paper). In press.
  6. R Duan*, MR Boland*, JH Moore, Y Chen. ODAL: A one-shot distributed algorithm to perform logistic regressions on electronic health records data from multiple clinical sites. In Press at 2019 Pacific Symposium on Biocomputing. *Equal-contribution first-author
  7. G Gonzalez-Hernandez, Z Lu, R Leaman, D Weissenbacher, MR Boland, Y Chen, J Du, J Fluck, CS Greene, J Holmes, A Kashyap, RL Nielsen, Z Ouyang, S Schaaf, JN Taroni, C Tao, Y Zhang, H Liu. PSB 2019 Workshop on Text Mining and Visualization for Precision Medicine. Pacific Symposium on Biocomputing; 2019; 449-454.
  8. MR Boland, NP Tatonetti. In Search of ‘Birth Month Genes’: Using Existing Data Repositories to Locate Genes Underlying Birth Month-Disease Relationships. AMIA Summits on Translational Science Proceedings; 2016: 189–198. Finalist for Distinguished Student Paper Award 
  9. MR Boland, NP Tatonetti. Are All Vaccines Created Equal? Using Electronic Health Records to Discover Vaccines Associated With Clinician-Coded Adverse Events. AMIA Summits on Translational Science Proceedings 2015, San Francisco, CA, USA. 2015; 196-200. 1st Place Winner Student Paper Competition
  10. N Nissim, MR Boland, R Moskovitch, NP Tatonetti, Y Elovici, Y Shahar, G Hripcsak. Active Learning Framework for EfficientCondition Severity Classification. Artificial Intelligence in Medicine. 2015; 13-24. Mario Stefanelli Best Student Paper Award
  11. V Agarwal, P LePendu, T Podchiyska, R Barber, MR Boland, G Hripcsak, N Shah. Using narratives as a source to automatically learn phenotype models. Data Mining for Medicine and Healthcare (DMMI) Proc. 2014; Washington DC, USA 2014.
  12. N Nissim, MR Boland, R Moskovitch, N Tatonetti, Y Elovici, Y Shahar, G Hripcsak. CAESAR-ALE: An Active Learning Enhancement for Conditions Severity Classification. ACM KDD on Workshop on Connected Health at Big Data Era; NYC, USA, 2014. 
  13. MR Boland, NP Tatonetti, G Hripcsak. CAESAR: a Classification Approach for Extracting Severity Automatically from Electronic Health Records. Intelligent Systems for Molecular Biology Phenotype Day. 2014; Boston, MA. 
  14. C Weng, MR Boland,  Y So, A Rusanov, C Lopez-Jiminez, R Steinman, L Busacca, S Bakken, JT Bigger. Using Software to Elicit User Needs for Clinical Research Visit Scheduling. AMIA Summits on Translational Science Proceedings. 2014: 109–115.
  15. CL Gordon, S Pouch, LG Cowell, MR Boland, HL Platt, A Goldfain, C Weng. Design and Evaluation of a Bacterial Clinical Infectious Diseases Ontology. Proceedings of the AMIA Annual Symposium 2013; 502-511. Finalist Student Paper Competition
  16. MR Boland*, R Miotto*, C Weng. A Method for Probing Disease Relatedness Using Common Clinical Eligibility Criteria. MEDINFO 2013, Copenhagen, Denmark. Stud Health Technol Inform. 2013; 192:481-5. * Equal contribution first-author. 
  17. G Hruby, MR Boland, JJ Cimino, J Gao, AB Wilcox, J Hirschberg, C Weng, Characterization of the Biomedical Query Mediation Process. AMIA Summits on Translational Science Proceedings, San Francisco, CA, 2013; 89-93. Finalist Distinguished Paper 
  18. MR Boland, SW Tu, S Carini, I Sim, C Weng, EliXR-TIME: A Temporal Knowledge Representation for Clinical Research Eligibility Criteria. AMIA Summits on Translational Science Proceedings, San Francisco, CA, 2012; 71-80.

Editor of Book Chapter 

  1. P Orzechowski, M Stauffer, JH Moore, MR Boland. Personalized Medicine (chapter 1). In: Simulations in Medicine Computer-Aided Diagnostics and Therapy. April 20, 2020. Edited by Irena Roterman-Konieczna.

 


Scientific Technical Reports

  1. L Davidson, S Canelon, MR Boland. Is Hydroxychloroquine Safe During Pregnancy? Observations from Penn Medicine. 2020.
  2. YJ Lee, MR Boland, S Bakken, C Weng. Ontology Alignment for Linking a Homegrown Research Networking System to VIVO: Findings and Implications for Standards Development. 2013.
  3. MR Boland, S Trembowelski, DC Dine, RC Steinman, S Bakken, C Weng. How Are Research Networking Systems Used and by Whom? A Case Study Using Google Analytics. 2013.

Peer-Reviewed Conference/Workshop/Symposium Abstracts

  1. B D'Alonzo, R Morse, AC Bretzin, ALC Schneider, S Canelon, MR Boland. Identifying Traumatic Brain Injury in Females from Electronic Health Records: Considerations for Defining a Cohort. AMIA Informatics Summit 2022. Chicago Illinois (podium).
  2. JR Meeker, HH Burris, R Bai, LD Levine, MR Boland. Neighborhood deprivation increases the risk of post-induction cesarean delivery. AMIA Informatics Summit 2022. Chicago Illinois (podium).
  3. S Alur-Gupta, MR Boland, A Dokras. Impact of PCOS on cornovirus disease 2019 (COVID-19) incidence and severity in the United States. Androgen Excess-PCOS 19th Annual Meeting. Virtual Conference (podium). November 12-14, 2021.
  4. S Tadlock, C Phillips, ML Casal, MC Kraus, AR Gelzer, MR Boland. Development of an Informatics Algorithm to Link Seasonal Infectious Diseases to Birth-Dependent Diseases Across Species: A Case Study with Osteosarcoma. AMIA Informatics Summit 2021. Virtual Conference (paper).
  5. MR Boland, J Liu, C Balocchi, JR Meeker, R Bai, I Mellis, D Mowery, D Herman. A Method to Link Neighborhood-Level Covariates to COVID-19 Infection Patterns in Philadelphia Using Spatial Regression. AMIA Informatics Summit 2021. Virtual Conference (paper).
  6. S Canelon, S Butts, MR Boland. The Impact of Sickle Cell Status on Adverse Delivery Outcomes Using Electronic Health Record Data. AMIA Informatics Summit 2021. Virtual Conference (podium).
  7. S Lynch, E South, D Mowery, MR Boland. Comparison and Analysis of Concordance for Two Popular Geocoding Methods Applied to Electronic Health Record Data. AMIA Informatics Summit 2021. Virtual Conference (poster).
  8. *MR Boland, L Davidson, S Canelon, J Meeker, T Penning, JH Holmes, J Moore. Harnessing Electronic Health Records to Study Emerging Environmental Disasters: A Proof of Concept with Perfluoralkyl Substances (PFAS). AMIA Annual Meeting 2020, Virtual Conference (podium).
  9. SP Canelon, H Burris, L Levine, MR Boland. Development and Evaluation of an Algorithm to Automatically Extract Delivery Episodes from Electronic Health Records. AMIA Annual Meeting 2020, Virtual Conference (poster).
  10. J Meeker, H Burris, MR Boland. An Algorithm to Identify Patient Relocation Events ('Moves') from EHR Data. AMIA Annual Meeting 2020, Virtual Conference (poster).
  11. O Wetherbee, J Meeker, C DeVoto, T Penning, J Moore, MR Boland. WellExplorer: An Integrative Resource Linking Hydraulic Fracturing Chemicals with Targeted Proteins, Hormonal Pathways and Geographic Location. AMIA Annual Meeting 2020, Virtual Conference (poster).
  12. J Meeker, MR Boland. The association between neighborhood level exposures and progression to labor. American Public Health Association (APHA) Annual Meeting 2020, Virtual Conference (poster).
  13. *MR Boland, ML Casal, M Kraus, A Gelzer. Applied Veterinary Informatics: Development of a Canine Data Repository to Uncover Disease-Breed Associations. AMIA Informatics Summit 2020, Houston, Tx, USA (podium). In press. Cancelled due to Coronavirus
  14. J Meeker, H Burris, MR Boland. An Algorithm to Identify Patient Relocation Events (‘Moves’) from Electronic Health Records Data. AMIA Informatics Summit 2020, Houston, Tx, USA (poster). In press. Cancelled due to Coronavirus
  15. L Davidson, MR Boland. Comparative Analysis and Evaluation of State-of-the-Art Medication Mapping Tools to Transform a Local Medication Terminology to RxNorm. AMIA Informatics Summit 2020, Houston, Tx, USA (full paper). Presentation Cancelled Due to Coronavirus.
  16. P Ndebele-Ngwenya, S Canelon, JA Peterson, S Butts, MR Boland. Investigating the Relationship Between Income and Housing Quality on Women’s Risk of Preterm Birth. Society for Advancement of Chicanos/Hispanics and Native Americans in Science 2019 (poster).
  17. S Canelon, MR Boland. Investigating Pregnancy-Related Health Outcomes Among Patients with Sickle Cell Disease and Linking with Health Disparities. AMIA 2019, November 16-20, Washington DC, USA. (poster presentation).
  18. R Bai, GE Moran, J Antonelli, Y Chen, MR Boland. Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models. Joint Statistical Meetings in Colorado 2019, July 26 – August 1, Denver Colorado (USA) (podium presentation).
  19. S Alur-Gupta, MR Boland, MD Sammel, K Barnhart, A Dokras. Higher incidence of postpartum complications in women with PCOS. Fertility and Sterility 2019; 112(3):e39
  20. S Alur-Gupta, MR Boland, MD Sammel, K Barnhart, A Dokras. Higher incidence of postpartum complications in women with PCOS. American Society for Reproductive Medicine 2019. (podium presentation). Won 1st Prize for Scientific Program Award American Society for Reproductive Medicine
  21. *MR Boland, S Alar-Gupta, L Levine, P Gabriel, G Gonzalez. Importance of Visit Type in Understanding Results from Phenome-Wide Association Studies: Results from a Visit-WAS. ISMB 2019, July 21-25, Basel, Switzerland. (poster presentation).
  22. R Duan, MR Boland*, JH Moore, Y Chen. ODAL: A one-shot distributed algorithm to perform logistic regressions on electronic health records data from multiple clinical sites. In Press at 2019 Pacific Symposium on Biocomputing. *Equal-contribution first-author (oral presentation).
  23. G Gonzalez-Hernandez, Z Lu, R Leaman, D Weissenbacher, MR Boland*, Y Chen, J Du, J Fluck, CS Greene, J Holmes, A Kashyap, RL Nielsen, Z Ouyang, S Schaaf, JN Taroni, C Tao, Y Zhang, H Liu. PSB 2019 Workshop on Text Mining and Visualization for Precision Medicine. Pacific Symposium on Biocomputing; 2019; 449-454 (oral presentation).
  24. MR Boland, C DeVoto. Mapping Regional Effects of Exposure to Hydraulic Fracturing Fluid and Linking with Information on Toxicity. Presented at 2018 Fall Meeting, AGU, Washington DC, 10-14 December. (poster presentation)
  25. *MR Boland, LH John, PR Rijnbeek. Condition Coding Practice Differences Between USA, Asia and Europe. Presented at Observational Health Data Sciences and Informatics Symposium 2018, October 12, Bethesda MD, USA (podium presentation).
  26. *MR Boland, A Kashyap, J Xiong, JH Holmes, S Lorch. Construction of PEPPER: Prenatal Exposure Pubmed ParsER. AMIA Annu Symp Proc. 2018, San Francisco, CA, USA. In Press. (podium presentation)
  27. F Martin-Sanchez, R Bellazzi, *MR Boland, G Lopez-Campos. Contributions from Informatics and Data science to Environmental Health and Exposome Research. Medical Informatics in Europe (MIE) 2018; Gottenburg, Sweden, 24-27 April. (panel presentation)
  28. *MR Boland, F Polubriginof, NP Tatonetti. Development of A Machine Learning Algorithm to Classify Drugs of Unknown Fetal Effect. American Society of Clinical Pharmacology & Therapeutics. 2018; Orlando, FL, 21-24 March. Top Scoring Poster Award. (poster and flash talk presentation)
  29. *MR Boland, P Parhi, P Gentine, NP Tatonetti. Climate Classification is an Important Factor in Assessing Quality-of-Care Across Hospitals. Presented at 2017 Fall Meeting, AGU, New Orleans, LA, 11-15 December.
  30. *MR Boland, P Parhi, R Miotto, R Carroll, U Iqbal, P-A Nguyen, M Schuemie, SC You, D Smith, S Mooney, P Ryan, Y-C Li, RW Park, J Denny, JT Dudley, G Hripcsak, P Gentine, NP Tatonetti. Uncovering Exposures Responsible for Birth Season – Disease Effects: A Global Study. Observational Health Data Sciences and Informatics Symposium 2017, October 18, Bethesda MD, USA (presentation).
  31. *MR Boland, NP Tatonetti. Assessing the Mutational Spectrum of 7-DeHydroCholesterol Reductase and the Toxicological Effects of Pharmacological Inhibition During the Prenatal Period; (Abstract / Prenatal, Perinatal and Reproductive Genetics #3260T). Presented at the 66th Annual Meeting of The American Society of Human Genetics, October 20, 2016, Vancouver, Canada.
  32. *MR Boland, P Parhi, U Iqbal, A Nguyen, M Schuemie, SC You, P Ryan, J Li, RW Park, G Hripcsak, NP Tatonetti. A Climate-Wide Journey to Explore Mechanisms Underlying Birth Month-Disease Risk Associations: Preliminary Results. Observational Health Data Sciences and Informatics Symposium 2016, Washington DC, USA (poster).
  33. *MR Boland, L Li, R Miotto, J Dudley, NP Tatonetti. Cardiovascular Disease Risk And Birth Month? Discovering and Replicating Novel Birth Month Associations. Data Science Day at Columbia University, New York, NY, USA (poster), April 3, 2016
  34. *MR Boland, NP Tatonetti. In Search of ‘Birth Month Genes’: Using Existing Data Repositories to Locate Genes Underlying Birth Month-Disease Relationships. AMIA Summits on Translational Science Proceedings 2016, San Francisco, CA, USA.
  35. F Polubriaginof, A Perotte, MR Boland, D Vawdrey. Quality of Race and Ethnicity Data in Electronic Health Records. AMIA Summits on Translational Science Proceedings 2016 , San Francisco, CA, USA (podium).
  36. *MR Boland, G Hripcsak, P Ryan, NP Tatonetti. A Climate-Wide Journey to Explore Mechanisms Underlying Birth Month-Disease Risk Associations: A Call for Collaboration. Observational Heatlh Data Sciences and Informatics Symposium 2015, Washington DC, USA (poster).
  37. *MR Boland, Z Shahn, D Madigan, G Hripcsak, NP Tatonetti. Using Electronic Health Records to Uncover Disease-Birth Month Dependencies. National Library of Medicine Informatics Trainee Conference 2015, National Library of Medicine, Bethesda, MD, USA (focus session).
  38. *MR Boland, Z Shahn, D Madigan, G Hripcsak, NP Tatonetti. Using Electronic Health Records to Uncover Disease-Birth Month Dependencies. 2015 Symposium on Advances in Genomics, Epidemiology and Statistics (SAGES), University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA (poster). Received Travel Award
  39.  N Nissim, MR Boland, R Moskovitch, NP Tatonetti, Y Elovici, Y Shahar, G Hripcsak. Active Learning Framework for Efficient Condition Severity Classification. Conference on Artificial Intelligence in Medicine (AIME). 2015; Pavia, Italy.
  40. *MR Boland, NP Tatonetti. Are All Vaccines Created Equal? Using Electronic Health Records to Discover Vaccines Associated With Clinician-Coded Adverse Events. AMIA Summits on Translational Science Proceedings 2015, San Francisco, CA, USA. (oral presentation).
  41. *MR Boland, Z Shahn, D Madigan, G Hripcsak, NP Tatonetti. Using Electronic Health Records to Uncover Disease-Birth Month Dependencies. AMIA Summits on Translational Science Proceedings 2015, San Francisco, CA, USA (poster). 
  42. B Kidd, A Wroblewska, MR Boland, J Agudo, M Merad, NP Tatonetti, B Brown, J Dudley. Systematic integrative analysis of immune pharmacology. AMIA Summits on Translational Science Proceedings 2015, San Francisco, CA, USA (poster).
  43. V Agarwal, P LePendu, T Podchiyska, R Barber, MR Boland, G Hripcsak, N Shah. Using narratives as a source to automatically learn phenotype models. Data Mining for Medicine and Healthcare (DMMI) Proc. 2014, Washington DC, USA.
  44. N Nissim, MR Boland, R Moskovitch, NP Tatonetti, Y Elovici, YShahar, G Hripcsak. CAESAR-ALE: An Active Learning Enhancement for Conditions Severity Classification. SIGKDD 2014, New York, NY, USA.
  45. *MR Boland, NP Tatonetti, G Hripcsak. CAESAR: a Classification Approach for Extracting Severity Automatically from Electronic Health Records. Intelligent Systems for Molecular Biology Phenotype Day. 2014; Boston, MA. [Link]
  46. MR Boland, R Miotto, C Weng. A method for probing disease relatedness using common clinical eligibility criteria. MEDINFO 2013, Copenhagen, Denmark.
  47. YJ Lee, MR Boland, S Bakken, C Weng. Ontology Alignment for Linking a Homegrown Research Networking System to VIVO: Findings and Implications for Standards Development. AMIA Summits on Translational Science Proceedings 2013 p.99 (poster)
  48. *MR Boland, S Trembowelski, D Dine, RC Steinman, S Bakken, C Weng. Using Google Analytics to Elucidate Research Networking System Usage. Clinical and Translational Science Award Annual Meeting 2012 (poster). 
  49. YJ Lee, MR Boland, S Bakken, C Weng. Aligning One CTSA’s Research Networking System to VIVO. Clinical and Translational Science Award Annual Meeting 2012 (podium).
  50. *MR Boland, G Hripcsak, DJ Albers, Y Wei, A Wilcox, J Wei, M Breene, J Zimmerman, C Weng. Linked Records Reveal Associations between Oral and Overall Health. Clinical and Translational Science Award Annual Meeting 2012 (poster). 
  51. *MR Boland, SB Johnson, S Trembowelski, DC Dine, RC Steinman, S Bakken, C Weng. An Initial Log-based Usage Analysis of Research Networking Systems. AMIA Summits on Translational Science Proceedings, San Francisco, CA, 2012; 148. (Podium) 
  52. *MR Boland, S Tu, S Carini, I Sim, C Weng. EliXR-TIME: A Temporal Knowledge Representation for Clinical Research Eligibility Criteria. AMIA Summits on Translational Science Proceedings 2012: 71-80 (oral presentation). 
  53. *MR Boland, ML Sierk. Annotation of Putatively Conserved Non-Coding Regions in Branchiostoma Floridae. National Conference for Undergraduate Research 2010, Missoula MT (poster). 
  54. *MR Boland, R Parker. Optimizing Cancer Chemotherapy Administration: Effect of Model Structure on Treatment Cost and Effect. Undergraduate Research in Tissue Engineering (Pittsburgh-Based Affiliate Research Institutes) 2009, Pittsburgh PA (poster No 3).
  55. *MR Boland, M Raab, M Sangimino. Data Design & Flow for RAE: An interactive web- based biomedical informatics system for pediatric orthopedic patients. Duquesne University Summer Research Symposium 2008, Pittsburgh PA (poster No 84). [Link] [File]

*Mary Regina Boland Gave Oral Presentation of Research