PERSIVAL: personalized summarization over multimedia health-care information. - Noemie Elhadad; Min-Yen Kan; Simon Lok; Smaranda Muresan (JCDL, 2001)

Sentence Ordering in Multidocument Summarization. - Regina Barzilay; Noémie Elhadad; Kathleen R. McKeown (HLT, 2001)

Collection and linguistic processing of a large-scale corpus of medical articles. - Simone Teufel; Noemie Elhadad (LREC, 2002)

Inferring Strategies for Sentence Ordering in Multidocument News Summarization. - Regina Barzilay; Noemie Elhadad; Kathleen R. McKeown (J. Artif. Intell. Res., 2002)

Sentence Alignment for Monolingual Comparable Corpora. - Regina Barzilay; Noemie Elhadad (EMNLP, 2003)

Leveraging a Common Representation for Personalized Search and Summarization in a Medical Digital Library. - Kathleen R. McKeown; Noemie Elhadad; Vasileios Hatzivassiloglou (JCDL, 2003)

User-Sensitive Text Summarization. - Noemie Elhadad (AAAI, 2004)

Facilitating Physicians' Access to Information via Tailored Text Summarization. - Noémie Elhadad; Kathleen R. McKeown; David R. Kaufman; Desmond A. Jordan (AMIA, 2005)

Customization in a unified framework for summarizing medical literature. - Noemie Elhadad; Min-Yen Kan; Judith L. Klavans; Kathleen R. McKeown (Artif. Intell. Medicine, 2005)

Comprehending Technical Texts: Predicting and Defining Unfamiliar Terms. - Noemie Elhadad (AMIA, 2006)

Mining a Lexicon of Technical Terms and Lay Equivalents. - Noemie Elhadad; Komal Sutaria (BioNLP@ACL, 2007)

Extracting Structured Medication Event Information from Discharge Summaries. - Sigfried Gold; Noémie Elhadad; Xinxin Zhu; James J. Cimino; George Hripcsak (AMIA, 2008)

Use of Semantic Features to Classify Patient Smoking Status. - Patrick J. McCormick; Noémie Elhadad; Peter D. Stetson (AMIA, 2008)

Content and Structure of Clinical Problem Lists: A Corpus Analysis. - Tielman Van Vleck; Adam B. Wilcox; Peter D. Stetson; Stephen B. Johnson; Noémie Elhadad (AMIA, 2008)

Automated Knowledge Acquisition from Clinical Narrative Reports. - Xiaoyan Wang; Amy E. Chused; Noémie Elhadad; Carol Friedman; Marianthi Markatou (AMIA, 2008)

Perplexity Analysis of Obesity News Coverage. - Delano J. McFarlane; Noemie Elhadad; Rita Kukafka (AMIA, 2009)

Comparing evaluation techniques for text readability software for adults with intellectual disabilities. - Matt Huenerfauth; Lijun Feng; Noemie Elhadad (ASSETS, 2009)

Cognitively Motivated Features for Readability Assessment. - Lijun Feng; Noemie Elhadad; Matt Huenerfauth (EACL, 2009)

Beyond the Stars: Improving Rating Predictions using Review Text Content. - Gayatree Ganu; Noemie Elhadad; Amélie Marian (WebDB, 2009)

Research Paper: Using Empiric Semantic Correlation to Interpret Temporal Assertions in Clinical Texts. - George Hripcsak; Noemie Elhadad; Yueh-Hsia Chen; Li Zhou 007; Frances P. Morrison (J. Am. Medical Informatics Assoc., 2009)

Cancer Stage Prediction Based on Patient Online Discourse. - Mukund Jha; Noemie Elhadad (BioNLP@ACL, 2010)

A Comparison of Features for Automatic Readability Assessment. - Lijun Feng; Martin Jansche; Matt Huenerfauth; Noemie Elhadad (COLING (Posters), 2010)

Section classification in clinical notes using supervised hidden markov model. - Ying Li; Sharon Lipsky Gorman; Noemie Elhadad (IHI, 2010)

An Unsupervised Aspect-Sentiment Model for Online Reviews. - Samuel Brody; Noemie Elhadad (HLT-NAACL, 2010)

An analysis of clinical queries in an electronic health record search utility. - Karthik Natarajan; Daniel M. Stein; Samat Jain; Noemie Elhadad (Int. J. Medical Informatics, 2010)

Putting it Simply: a Context-Aware Approach to Lexical Simplification. - Or Biran; Samuel Brody; Noemie Elhadad (ACL (2), 2011)

Hierarchically Supervised Latent Dirichlet Allocation. - Adler J. Perotte; Frank D. Wood; Noemie Elhadad; Nicholas Bartlett (NIPS, 2011)

Inferring Strategies for Sentence Ordering in Multidocument News Summarization - Regina Barzilay; Noemie Elhadad (CoRR, 2011)

A hybrid knowledge-based and data-driven approach to identifying semantically similar concepts. - Rimma Pivovarov; Noemie Elhadad (J. Biomed. Informatics, 2012)

A new clustering method for detecting rare senses of abbreviations in clinical notes. - Hua Xu 001; Yonghui Wu; Noemie Elhadad; Peter D. Stetson; Carol Friedman (J. Biomed. Informatics, 2012)

Using patient laboratory measurement values and dynamics to deconvolve EHR bias and define acuity-based phenotypes. - David J. Albers; Rimma Pivovarov; George Hripcsak; Noemie Elhadad (AMIA, 2013)

Lessons Learned in Replicating Data-Driven Experiments in Multiple Medical Systems and Patient Populations. - Samantha Kleinberg; Noemie Elhadad (AMIA, 2013)

Panel: Shared Resources, Shared Code, and Shared Activities in Clinical Natural Language Processing. - Guergana Savova; Wendy Webber Chapman; Noemie Elhadad; Martha Palmer (AMIA, 2013)

Task 2: ShARe/CLEF eHealth Evaluation Lab 2013. - Danielle L. Mowery; Brett R. South; Lee M. Christensen; Laura-Maria Murtola; Sanna Salanterä; Hanna Suominen; David Martínez 001; Noémie Elhadad; Sameer Pradhan; Guergana K. Savova; Wendy W. Chapman (CLEF (Working Notes), 2013)

Task 1: ShARe/CLEF eHealth Evaluation Lab 2013. - Sameer Pradhan; Noémie Elhadad; Brett R. South; David Martínez 001; Lee M. Christensen; Amy Vogel; Hanna Suominen; Wendy W. Chapman; Guergana K. Savova (CLEF (Working Notes), 2013)

Overview of the ShARe/CLEF eHealth Evaluation Lab 2013. - Hanna Suominen; Sanna Salanterä; Sumithra Velupillai; Wendy Webber Chapman; Guergana K. Savova; Noemie Elhadad; Sameer Pradhan; Brett R. South; Danielle L. Mowery; Gareth J. F. Jones; Johannes Leveling; Liadh Kelly; et al. (CLEF, 2013)

Remedy: Supporting consumer-centered medication information search. - Lauren Wilcox; Steven Feiner; Noemie Elhadad; David K. Vawdrey; Tran H. Tran (PervasiveHealth, 2013)

Redundancy in electronic health record corpora: analysis, impact on text mining performance and mitigation strategies. - Raphael Cohen; Michael Elhadad; Noemie Elhadad (BMC Bioinform., 2013)

Unsupervised biomedical named entity recognition: Experiments with clinical and biological texts. - Shaodian Zhang; Noemie Elhadad (J. Biomed. Informatics, 2013)

Cross-narrative Temporal Ordering of Medical Events. - Preethi Raghavan; Eric Fosler-Lussier; Noemie Elhadad; Albert M. Lai (ACL (1), 2014)

Model selection for EHR laboratory variables: how physiology and the health care process can influence EHR laboratory data and their model representations. - David J. Albers; Rimma Pivovarov; Noemie Elhadad; George Hripcsak (AMIA, 2014)

HARVEST, a Holistic Patient Record Summarizer at the Point of Care. - Noémie Elhadad; Sharon Lipsky Gorman; Jamie S. Hirsch; Connie Liu; David K. Vawdrey; Marc Sturm (AMIA, 2014)

Characterizing the Sublanguage of Online Breast Cancer Forums for Medications, Symptoms, and Emotions. - Noémie Elhadad; Shaodian Zhang; Patricia Driscoll; Samuel Brody (AMIA, 2014)

Disease/Disorder Semantic Template Filling - Information Extraction Challenge in the ShARe/CLEF eHealth Evaluation Lab 2014. - Sumithra Velupillai; Danielle L. Mowery; Lee M. Christensen; Noemie Elhadad; Sameer Pradhan; Guergana K. Savova; Wendy W. Chapman (AMIA, 2014)

Does Sustained Participation in an Online Health Community Affect Sentiment? - Shaodian Zhang; Erin O'Carroll Bantum; Jason E. Owen; Noemie Elhadad (AMIA, 2014)

Task 2: ShARe/CLEF eHealth Evaluation Lab 2014. - Danielle L. Mowery; Sumithra Velupillai; Brett R. South; Lee M. Christensen; David Martínez 001; Liadh Kelly; Lorraine Goeuriot; Noémie Elhadad; Sameer Pradhan; Guergana K. Savova; Wendy W. Chapman (CLEF (Working Notes), 2014)

Patient-centered tools for medication information search. - Lauren Wilcox; Steven K. Feiner; Noémie Elhadad; David K. Vawdrey; Tran H. Tran (PervasiveHealth, 2014)

SemEval-2014 Task 7: Analysis of Clinical Text. - Sameer Pradhan; Noémie Elhadad; Wendy W. Chapman; Suresh Manandhar; Guergana Savova (SemEval@COLING, 2014)

Diagnosis code assignment: models and evaluation metrics. - Adler J. Perotte; Rimma Pivovarov; Karthik Natarajan; Nicole Gray Weiskopf; Frank D. Wood; Noemie Elhadad (J. Am. Medical Informatics Assoc., 2014)

Temporal trends of hemoglobin A1c testing. - Rimma Pivovarov; David J. Albers; George Hripcsak; Jorge L. Sepulveda; Noémie Elhadad (J. Am. Medical Informatics Assoc., 2014)

A review of approaches to identifying patient phenotype cohorts using electronic health records. - Chaitanya P. Shivade; Preethi Raghavan; Eric Fosler-Lussier; Peter J. Embí; Noémie Elhadad; Stephen B. Johnson; Albert M. Lai (J. Am. Medical Informatics Assoc., 2014)

Identifying and mitigating biases in EHR laboratory tests. - Rimma Pivovarov; David J. Albers; Jorge L. Sepulveda; Noémie Elhadad (J. Biomed. Informatics, 2014)

Survival analysis with electronic health record data: Experiments with chronic kidney disease. - Yolanda Hagar; David J. Albers; Rimma Pivovarov; Herbert S. Chase; Vanja Dukic; Noémie Elhadad (Stat. Anal. Data Min., 2014)

What Predicts Media Coverage of Health Science Articles? - Byron C. Wallace; Michael J. Paul; Noémie Elhadad (AAAI Workshop: WWW and Public Health Intelligence, 2015)

A convex and feature-rich discriminative approach to dependency grammar induction. - Edouard Grave; Noémie Elhadad (ACL (1), 2015)

Model Selection For EHR Laboratory Tests Preserving Healthcare Context and Underlying Physiology. - David J. Albers; Rimma Pivovarov; J. Michael Schmidt; Noemie Elhadad; George Hripcsak (AMIA, 2015)

Initial Readability Assessment of Clinical Trial Eligibility Criteria. - Tian Kang; Noémie Elhadad; Chunhua Weng (AMIA, 2015)

Collective Sensemaking in Online Health Forums. - Lena Mamykina; Drashko Nakikj; Noemie Elhadad (CHI, 2015)

Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission. - Rich Caruana; Yin Lou; Johannes Gehrke; Paul Koch; Marc Sturm; Noemie Elhadad (KDD, 2015)

SemEval-2015 Task 14: Analysis of Clinical Text. - Noémie Elhadad; Sameer Pradhan; Sharon Lipsky Gorman; Suresh Manandhar; Wendy W. Chapman; Guergana K. Savova (SemEval@NAACL-HLT, 2015)

The Survival Filter: Joint Survival Analysis with a Latent Time Series. - Rajesh Ranganath; Adler J. Perotte; Noémie Elhadad; David M. Blei (UAI, 2015)

HARVEST, a longitudinal patient record summarizer. - Jamie S. Hirsch; Jessica S. Tanenbaum; Sharon Lipsky Gorman; Connie Liu; Eric Schmitz; Dritan Hashorva; Artem Ervits; David K. Vawdrey; Marc Sturm; Noémie Elhadad (J. Am. Medical Informatics Assoc., 2015)

Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis. - Adler J. Perotte; Rajesh Ranganath; Jamie S. Hirsch; David M. Blei; Noémie Elhadad (J. Am. Medical Informatics Assoc., 2015)

Automated methods for the summarization of electronic health records. - Rimma Pivovarov; Noémie Elhadad (J. Am. Medical Informatics Assoc., 2015)

Evaluating the state of the art in disorder recognition and normalization of the clinical narrative. - Sameer Pradhan; Noémie Elhadad; Brett R. South; David Martínez 001; Lee M. Christensen; Amy Vogel; Hanna Suominen; Wendy W. Chapman; Guergana Savova (J. Am. Medical Informatics Assoc., 2015)

Learning probabilistic phenotypes from heterogeneous EHR data. - Rimma Pivovarov; Adler J. Perotte; Edouard Grave; John Angiolillo; Chris H. Wiggins 001; Noémie Elhadad (J. Biomed. Informatics, 2015)

Patient Generated Data: the Missing Link in Patient Centered Care? - Noémie Elhadad; Lena Mamykina; Xinxin Zhu; Eileen Koski (AMIA, 2016)

Qualitative Assessment of Women's Attitudes Towards a Tracking App for Phenotyping Endometriosis. - Mollie M. McKillop; Tamer Seckin; Noemie Elhadad (AMIA, 2016)

A probabilistic model for learning relationships between diagnosis codes and clinical free text. - Adler J. Perotte; Noemie Elhadad (AMIA, 2016)

Can Patient Record Summarization Support Quality Metric Abstraction? - Rimma Pivovarov; Yael J. Coppleson; Sharon Lipsky Gorman; David K. Vawdrey; Noémie Elhadad (AMIA, 2016)

Factors Contributing to Dropping-out in an Online Health Community: Static and Longitudinal Analyses. - Shaodian Zhang; Noemie Elhadad (AMIA, 2016)

Deep Survival Analysis. - Rajesh Ranganath; Adler J. Perotte; Noémie Elhadad; David M. Blei (MLHC, 2016)

Normalizing acronyms and abbreviations to aid patient understanding of clinical texts: ShARe/CLEF eHealth Challenge 2013, Task 2. - Danielle L. Mowery; Brett R. South; Lee M. Christensen; Jianwei Leng; Laura-Maria Peltonen; Sanna Salanterä; Hanna Suominen; David Martínez 001; Sumithra Velupillai; Noémie Elhadad; Guergana Savova; Sameer Pradhan; et al. (J. Biomed. Semant., 2016)

Data-driven health management: reasoning about personally generated data in diabetes with information technologies. - Lena Mamykina; Matthew E. Levine; Patricia G. Davidson; Arlene M. Smaldone; Noémie Elhadad; David J. Albers (J. Am. Medical Informatics Assoc., 2016)

Speculation detection for Chinese clinical notes: Impacts of word segmentation and embedding models. - Shaodian Zhang; Tian Kang; Xingting Zhang; Dong Wen 003; Noémie Elhadad; Jianbo Lei (J. Biomed. Informatics, 2016)

When to re-order laboratory tests? Learning lab shelf-life. - Gal Levy-Fix; Sharon Lipsky Gorman; Noemie Elhadad (AMIA, 2017)

Beyond ResearchKit: User Engagement with Phendo, a Novel App for Self-tracking and Research. - Mollie McKillop; Sylvia English; Sharib A. Khan; Chintan Patel; Noemie Elhadad (AMIA, 2017)

Clinical Natural Language Processing in Languages Other Than English. - Aurélie Névéol; Noémie Elhadad; Sumithra Velupillai; Hua Xu 001; Guergana Savova (AMIA, 2017)

Cataloguing Treatments Discussed and Used in Online Autism Communities. - Shaodian Zhang; Tian Kang; Lin Qiu; Weinan Zhang 001; Yong Yu 001; Noémie Elhadad (WWW, 2017)

We Make Choices We Think are Going to Save Us: Debate and Stance Identification for Online Breast Cancer CAM Discussions. - Shaodian Zhang; Lin Qiu; Frank Chen; Weinan Zhang 001; Yong Yu 001; Noémie Elhadad (WWW (Companion Volume), 2017)

Multi-Label Classification of Patient Notes a Case Study on ICD Code Assignment. - Tal Baumel; Jumana Nassour-Kassis; Michael Elhadad; Noémie Elhadad (CoRR, 2017)

Towards Personalized Modeling of the Female Hormonal Cycle: Experiments with Mechanistic Models and Gaussian Processes. - Iñigo Urteaga; David J. Albers; Marija Vlajic Wheeler; Anna Druet; Hans Raffauf; Noémie Elhadad (CoRR, 2017)

Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories. - Alexandre Yahi; Rami Vanguri; Noémie Elhadad; Nicholas P. Tatonetti (CoRR, 2017)

EliIE: An open-source information extraction system for clinical trial eligibility criteria. - Tian Kang; Shaodian Zhang; Youlan Tang; Gregory William Hruby; Alexander Rusanov; Noémie Elhadad; Chunhua Weng (J. Am. Medical Informatics Assoc., 2017)

Online cancer communities as informatics intervention for social support: conceptualization, characterization, and impact. - Shaodian Zhang; Erin O'Carroll Bantum; Jason E. Owen; Suzanne Bakken; Noémie Elhadad (J. Am. Medical Informatics Assoc., 2017)

Longitudinal analysis of discussion topics in an online breast cancer community using convolutional neural networks. - Shaodian Zhang; Edouard Grave; Elizabeth Sklar; Noémie Elhadad (J. Biomed. Informatics, 2017)

Multi-Label Classification of Patient Notes: Case Study on ICD Code Assignment. - Tal Baumel; Jumana Nassour-Kassis; Raphael Cohen; Michael Elhadad; Noémie Elhadad (AAAI Workshops, 2018)

Towards the Inference of Social and Behavioral Determinants of Sexual Health: Development of a Gold-Standard Corpus with Semi-Supervised Learning. - Daniel J. Feller; Jason Zucker 001; Oliver J. Bear Don't Walk IV; Bharat Srikishan; Roxana Martinez; Henry Evans; Michael T. Yin; Peter Gordon; Noemie Elhadad (AMIA, 2018)

Identifying Clinical Notes with Likely Documentation of Social and Behavioral Determinants of Health. - Oliver J. Bear Don't Walk IV; Jason Zucker 001; Peter Gordon; Noemie Elhadad; Daniel J. Feller; Bharat Srikishan; Michael T. Yin (AMIA, 2018)

Computable Longitudinal Patient Trajectories. - Jeremy L. Warner; Guergana Savova; Noemie Elhadad; Lisa Bastarache; David Gotz (AMIA, 2018)

Designing in the Dark: Eliciting Self-tracking Dimensions for Understanding Enigmatic Disease. - Mollie McKillop; Lena Mamykina; Noémie Elhadad (CHI, 2018)

Deep Survival Analysis: Nonparametrics and Missingness. - Xenia Miscouridou; Adler J. Perotte; Noemie Elhadad; Rajesh Ranganath (MLHC, 2018)

Phenotyping Endometriosis through Mixed Membership Models of Self-Tracking Data. - Iñigo Urteaga; Mollie McKillop; Sharon Lipsky Gorman; Noémie Elhadad (CoRR, 2018)

Estimating summary statistics for electronic health record laboratory data for use in high-throughput phenotyping algorithms. - David J. Albers; Noémie Elhadad; Jan Claassen; Rimma Perotte; Andrew Goldstein; George Hripcsak (J. Biomed. Informatics, 2018)

When to re-order laboratory tests? Learning laboratory test shelf-life. - Gal Levy-Fix; Sharon Lipsky Gorman; Jorge L. Sepulveda; Noémie Elhadad (J. Biomed. Informatics, 2018)

Learning Across a Healthcare Data Network to Improve Model Robustness and Evidence Reliability. - Noémie Elhadad; Iñigo Urteaga; Alison Callahan; Jenna Reps; Patrick B. Ryan (AMIA, 2019)

Longitudinal analysis of social and behavioral determinants of health in the EHR: exploring the impact of patient trajectories and documentation practices. - Daniel J. Feller; Jason Zucker 001; Oliver J. Bear Don't Walk IV; Michael T. Yin; Peter Gordon; Noemie Elhadad (AMIA, 2019)

Get on the Same Page: Negotiating and Aligning Knowledge and Expectations between Patients and Providers through Self-Tracking Artifacts. - Adrienne Pichon; Megan Houterloot; Kayla Schiffer; Emma Horan; Noemie Elhadad (AMIA, 2019)

Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics. - Iñigo Urteaga; Tristan Bertin; Theresa M. Hardy; David J. Albers; Noémie Elhadad (MLHC, 2019)

Machine Learning and Visualization in Clinical Decision Support: Current State and Future Directions. - Gal Levy-Fix; Gilad J. Kuperman; Noémie Elhadad (CoRR, 2019)

Indicators of retention in remote digital health studies: A cross-study evaluation of 100, 000 participants. - Abhishek Pratap; Elias Chaibub Neto; Phil Snyder; Carl Stepnowsky; Noémie Elhadad; Daniel Grant; Matthew H. Mohebbi; Sean D. Mooney; Christine Suver; John Wilbanks; Lara M. Mangravite; Patricki J. Heagerty; et al. (CoRR, 2019)

Patient Record Summarization Through Joint Phenotype Learning and Interactive Visualization. - Gal Levy-Fix; Jason Zucker 001; Konstantin Stojanovic; Noémie Elhadad (AMIA, 2020)

Zero-Shot Clinical Acronym Expansion via Latent Meaning Cells. - Griffin Adams; Mert Ketenci; Shreyas Bhave; Adler J. Perotte; Noémie Elhadad (ML4H@NeurIPS, 2020)

Augmenting the Clinical Data Sources for Enigmatic Diseases: A Cross-Sectional Study of Self-Tracking Data and Clinical Documentation in Endometriosis. - Ipek Ensari; Adrienne Pichon; Sharon Lipsky Gorman; Suzanne Bakken; Noémie Elhadad (Appl. Clin. Inform., 2020)

Detecting Social and Behavioral Determinants of Health with Structured and Free-Text Clinical Data. - Daniel J. Feller; Oliver J. Bear Don't Walk IV; Jason Zucker 001; Michael T. Yin; Peter Gordon; Noémie Elhadad (Appl. Clin. Inform., 2020)

Towards Patient Record Summarization Through Joint Phenotype Learning in HIV Patients. - Gal Levy-Fix; Jason Zucker 001; Konstantin Stojanovic; Noémie Elhadad (CoRR, 2020)

Zero-Shot Clinical Acronym Expansion with a Hierarchical Metadata-Based Latent Variable Model. - Griffin Adams; Mert Ketenci; Adler J. Perotte; Noemie Elhadad (CoRR, 2020)

Exploring Gender Disparities in Time to Diagnosis. - Tony Y. Sun; Oliver J. Bear Don't Walk IV; Jennifer L. Chen; Harry Reyes Nieva; Noémie Elhadad (CoRR, 2020)

An investigation of the information technology needs associated with delivering chronic disease care to large clinical populations. - Daniel J. Feller; Maichou Lor; Jason Zucker 001; Michael T. Yin; Susan Olender; David C. Ferris; Noémie Elhadad; Lena Mamykina (Int. J. Medical Informatics, 2020)

Cross-lingual Unified Medical Language System entity linking in online health communities. - Yonatan Bitton; Raphael Cohen; Tamar Schifter; Eitan Bachmat; Michael Elhadad; Noémie Elhadad (J. Am. Medical Informatics Assoc., 2020)

Characterizing physiological and symptomatic variation in menstrual cycles using self-tracked mobile-health data. - Kathy Li; Iñigo Urteaga; Chris H. Wiggins 001; Anna Druet; Amanda Shea; Virginia J. Vitzthum; Noémie Elhadad (npj Digit. Medicine, 2020)

Indicators of retention in remote digital health studies: a cross-study evaluation of 100, 000 participants. - Abhishek Pratap; Elias Chaibub Neto; Phil Snyder; Carl Stepnowsky; Noémie Elhadad; Daniel Grant; Matthew H. Mohebbi; Sean D. Mooney; Christine Suver; John Wilbanks; Lara M. Mangravite; Patrick J. Heagerty; et al. (npj Digit. Medicine, 2020)

Learning endometriosis phenotypes from patient-generated data. - Iñigo Urteaga; Mollie McKillop; Noémie Elhadad (npj Digit. Medicine, 2020)

Divided We Stand: The Collaborative Work of Patients and Providers in an Enigmatic Chronic Disease. - Adrienne Pichon; Kayla Schiffer; Emma Horan; Bria Massey; Suzanne Bakken; Lena Mamykina; Noemie Elhadad (Proc. ACM Hum. Comput. Interact., 2020)

Exploring Automatic Summarization of the Hospital Course. - Griffin Adams; Emily Alsentzer; Mert Ketenci; Jason Zucker 001; Noemie Elhadad (AMIA, 2021)

Informing Symptom Science Using a Citizen Science Application in the COVID-19 Pandemic. - Caitlin N. Dreisbach; Katherine South; Theresa A. Koleck; Veronica Barcelona; Lena Mamykina; Noémie Elhadad; Suzanne Bakken (AMIA, 2021)

Differential Presentation and Delays in Treatment for Acute Myocardial Infarction Associated with Sex and Race/Ethnicity. - Harry Reyes Nieva; Tony Sun; Sharon Lipsky Gorman; Grace Mao; Noemie Elhadad (AMIA, 2021)

Gender Differences in Time to Diagnosis through Fairness and Time Variant Evaluation of EHR Data. - Tony Y. Sun; Oliver J. Bear Don't Walk IV; Jenny Chen; Jaan Altosaar; Harry Reyes Nieva; Noemie Elhadad (AMIA, 2021)

Scaling Up HCI Research: from Clinical Trials to Deployment in the Wild. - Lena Mamykina; Arlene M. Smaldone; Suzanne R. Bakken; Noemie Elhadad; Elliot G. Mitchell; Pooja M. Desai; Matthew E. Levine; Jonathan N. Tobin; Andrea Cassells; Patricia G. Davidson; David J. Albers; George Hripcsak (CHI Extended Abstracts, 2021)

A Generative Modeling Approach to Calibrated Predictions: A Use Case on Menstrual Cycle Length Prediction. - Iñigo Urteaga; Kathy Li; Amanda Shea; Virginia J. Vitzthum; Chris H. Wiggins 001; Noemie Elhadad (MLHC, 2021)

What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization. - Griffin Adams; Emily Alsentzer; Mert Ketenci; Jason Zucker 001; Noémie Elhadad (NAACL-HLT, 2021)

A generative, predictive model for menstrual cycle lengths that accounts for potential self-tracking artifacts in mobile health data. - Kathy Li; Iñigo Urteaga; Amanda Shea; Virginia J. Vitzthum; Chris H. Wiggins 001; Noémie Elhadad (CoRR, 2021)

Supervised topic modeling for predicting molecular substructure from mass spectrometry. - Gabriel Reder; Adamo Young; Jaan Altosaar; Jakub Rajniak; Noémie Elhadad; Michael Fischbach; Susan Holmes (F1000Research, 2021)

A predictive model for next cycle start date that accounts for adherence in menstrual self-tracking. - Kathy Li; Iñigo Urteaga; Amanda Shea; Virginia J. Vitzthum; Chris H. Wiggins 001; Noémie Elhadad (J. Am. Medical Informatics Assoc., 2021)

Development and validation of prediction models for mechanical ventilation, renal replacement therapy, and readmission in COVID-19 patients. - Victor Alfonso Rodriguez; Shreyas Bhave; Ruijun Chen; Chao Pang; George Hripcsak; Soumitra Sengupta; Noemie Elhadad; Robert A. Green; Jason S. Adelman; Katherine Schlosser Metitiri; Pierre A. Elias; Holden Groves; et al. (J. Am. Medical Informatics Assoc., 2021)

Clinician involvement in research on machine learning-based predictive clinical decision support for the hospital setting: A scoping review. - Jessica M. Schwartz; Amanda J. Moy; Sarah Collins Rossetti; Noémie Elhadad; Kenrick D. Cato (J. Am. Medical Informatics Assoc., 2021)

Response to: Looking for clinician involvement under the wrong lamp post: the need for collaboration measures. - Jessica M. Schwartz; Amanda J. Moy; Sarah Collins Rossetti; Noémie Elhadad; Kenrick D. Cato (J. Am. Medical Informatics Assoc., 2021)

Corrigendum to: Clinician involvement in research on machine learning-based predictive clinical decision support for the hospital setting: A scoping review. - Jessica M. Schwartz; Amanda J. Moy; Sarah Collins Rossetti; Noémie Elhadad; Kenrick D. Cato (J. Am. Medical Informatics Assoc., 2021)

Clinically relevant pretraining is all you need. - Oliver J. Bear Don't Walk IV; Tony Y. Sun; Adler J. Perotte; Noémie Elhadad (J. Am. Medical Informatics Assoc., 2021)

Mining the Health Disparities and Minority Health Bibliome: A Computational Scoping Review. - Harry Reyes Nieva; Noemie Elhadad (AMIA, 2022)

Human, Data, and Algorithmic Perspectives to Inform the Design of RL-enabled Self-management Regimens. - Adrienne Pichon; Iñigo Urteaga; Lena Mamykina; Noemie Elhadad (AMIA, 2022)

Assessing Phenotype Definitions for Algorithmic Fairness. - Tony Y. Sun; Shreyas Bhave; Jaan Altosaar; Noemie Elhadad (AMIA, 2022)

Examining AI Methods for Micro-Coaching Dialogs. - Elliot G. Mitchell; Noemie Elhadad; Lena Mamykina (CHI, 2022)

Learning to Revise References for Faithful Summarization. - Griffin Adams; Han-Chin Shing; Qing Sun; Christopher Winestock; Kathleen R. McKeown; Noémie Elhadad (EMNLP (Findings), 2022)

A Bayesian Causal Inference Approach for Assessing Fairness in Clinical Decision-Making. - Linying Zhang; Lauren R. Richter; Yixin Wang 002; Anna Ostropolets; Noemie Elhadad; David M. Blei; George Hripcsak (CoRR, 2022)

Assisted Living in the United States: an Open Dataset. - Anton Stengel; Jaan Altosaar; Rebecca Dittrich; Noémie Elhadad (CoRR, 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)

An interactive fitness-for-use data completeness tool to assess activity tracker data. - Sylvia Cho; Ipek Ensari; Noémie Elhadad; Chunhua Weng; Jennifer M. Radin; Brinnae Bent; Pooja M. Desai; Karthik Natarajan (J. Am. Medical Informatics Assoc., 2022)

The messiness of the menstruator: assessing personas and functionalities of menstrual tracking apps. - Adrienne Pichon; Kasey B. Jackman; Inga T. Winkler; Chris Bobel; Noémie Elhadad (J. Am. Medical Informatics Assoc., 2022)

Erratum To: The Messiness of The Menstruator: Assessing Personas and Functionalities of Menstrual Tracking Apps. - Adrienne Pichon; Kasey B. Jackman; Inga T. Winkler; Chris Bobel; Noémie Elhadad (J. Am. Medical Informatics Assoc., 2022)

Generating EDU Extracts for Plan-Guided Summary Re-Ranking. - Griffin Adams; Alexander R. Fabbri; Faisal Ladhak; Noémie Elhadad; Kathleen R. McKeown (ACL (1), 2023)

What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization. - Griffin Adams; Bichlien Nguyen; Jake Smith; Yingce Xia; Shufang Xie 003; Anna Ostropolets; Budhaditya Deb; Yuan-Jyue Chen; Tristan Naumann; Noémie Elhadad (ACL (1), 2023)

A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarization. - Griffin Adams; Jason Zuckerg; Noémie Elhadad (MLHC, 2023)

Maximum Likelihood Estimation of Flexible Survival Densities with Importance Sampling. - Mert Ketenci; Shreyas Bhave; Noemie Elhadad; Adler J. Perotte (MLHC, 2023)

A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarization. - Griffin Adams; Jason Zucker 001; Noémie Elhadad (CoRR, 2023)

From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting. - Griffin Adams; Alexander R. Fabbri; Faisal Ladhak; Eric Lehman; Noémie Elhadad (CoRR, 2023)

A Coreset-based, Tempered Variational Posterior for Accurate and Scalable Stochastic Gaussian Process Inference. - Mert Ketenci; Adler J. Perotte; Noémie Elhadad; Iñigo Urteaga (CoRR, 2023)

Representing and utilizing clinical textual data for real world studies: An OHDSI approach. - Vipina Kuttichi Keloth; Juan M. Banda; Michael J. Gurley; Paul M. Heider; Georgina Kennedy; Hongfang Liu; Feifan Liu; Timothy Miller 002; Karthik Natarajan; Olga V. Patterson; Yifan Peng 002; Kalpana Raja; et al. (J. Biomed. Informatics, 2023)

SPEER: Sentence-Level Planning of Long Clinical Summaries via Embedded Entity Retrieval. - Griffin Adams; Jason Zucker 001; Noémie Elhadad (CoRR, 2024)

Variational Shapley Network: A Probabilistic Approach to Self-Explaining Shapley values with Uncertainty Quantification. - Mert Ketenci; Iñigo Urteaga; Victor Alfonso Rodriguez; Noémie Elhadad; Adler J. Perotte (CoRR, 2024)

CEHR-GPT: Generating Electronic Health Records with Chronological Patient Timelines. - Chao Pang; Xinzhuo Jiang; Nishanth Parameshwar Pavinkurve; Krishna S. Kalluri; Elise L. Minto; Jason Patterson; Linying Zhang; George Hripcsak; Noémie Elhadad; Karthik Natarajan (CoRR, 2024)

Incorporating Human Explanations for Robust Hate Speech Detection. - Jennifer L. Chen; Faisal Ladhak; Daniel Li; Noémie Elhadad (CoRR, 2024)

Causal fairness assessment of treatment allocation with electronic health records. - Linying Zhang; Lauren R. Richter; Yixin Wang 002; Anna Ostropolets; Noémie Elhadad; David M. Blei; George Hripcsak (J. Biomed. Informatics, 2024)

Promoting Prosociality via Micro-acts of Joy: A Large-Scale Well-Being Intervention Study. - Hitesh Goel; Yoobin Park; Jin Liou; Darwin A Guevarra; Peggy Callahan; Jolene Smith; Bingsheng Yao; Dakuo Wang; Xin Liu 034; Daniel McDuff; Noemie Elhadad; Emiliana Simon-Thomas; et al. (CHI, 2025)

The Voice of Endo: Leveraging Speech for an Intelligent System That Can Forecast Illness Flare-ups. - Adrienne Pichon; Jessica R. Blumberg; Lena Mamykina; Noemie Elhadad (CHI, 2025)

Accurate and Scalable Stochastic Gaussian Process Regression via Learnable Coreset-based Variational Inference. - Mert Ketenci; Adler J. Perotte; Noémie Elhadad; Iñigo Urteaga (UAI, 2025)

AI as an intervention: improving clinical outcomes relies on a causal approach to AI development and validation. - Shalmali Joshi; Iñigo Urteaga; Wouter A. C. van Amsterdam; George Hripcsak; Pierre A. Elias; Benjamin R. C. Amor; Noémie Elhadad; James C. Fackler; Mark P. Sendak; Jenna Wiens; Kaivalya Deshpande; Yoav Wald; et al. (J. Am. Medical Informatics Assoc., 2025)

Informing the Design of Individualized Self-Management Regimens from the Human, Data, and Machine Learning Perspectives. - Adrienne Pichon; Iñigo Urteaga; Lena Mamykina; Noémie Elhadad (ACM Trans. Comput. Hum. Interact., 2025)