default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDNoémie Elhadad
Noemie Elhadad
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j46]Linying Zhang
, Lauren R. Richter, Yixin Wang, Anna Ostropolets, Noémie Elhadad, David M. Blei, George Hripcsak:
Causal fairness assessment of treatment allocation with electronic health records. J. Biomed. Informatics 155: 104656 (2024)- [i29]Griffin Adams, Jason Zucker, Noémie Elhadad:
SPEER: Sentence-Level Planning of Long Clinical Summaries via Embedded Entity Retrieval. CoRR abs/2401.02369 (2024) - [i28]Mert Ketenci, Iñigo Urteaga, Victor Alfonso Rodriguez, Noémie Elhadad, Adler J. Perotte:
Variational Shapley Network: A Probabilistic Approach to Self-Explaining Shapley values with Uncertainty Quantification. CoRR abs/2402.04211 (2024) - [i27]Chao Pang, Xinzhuo Jiang, Nishanth Parameshwar Pavinkurve, Krishna S. Kalluri, Elise L. Minto, Jason Patterson, Linying Zhang, George Hripcsak, Noémie Elhadad, Karthik Natarajan:
CEHR-GPT: Generating Electronic Health Records with Chronological Patient Timelines. CoRR abs/2402.04400 (2024) - 2023
- [j45]Vipina Kuttichi Keloth, Juan M. Banda, Michael J. Gurley, Paul M. Heider, Georgina Kennedy, Hongfang Liu, Feifan Liu, Timothy A. Miller, Karthik Natarajan, Olga V. Patterson, Yifan Peng, Kalpana Raja, Ruth M. Reeves, Masoud Rouhizadeh, Jianlin Shi, Xiaoyan Wang, Yanshan Wang, Wei-Qi Wei, Andrew E. Williams, Rui Zhang, Rimma Belenkaya, Christian G. Reich, Clair Blacketer, Patrick B. Ryan, George Hripcsak, Noémie Elhadad, Hua Xu:
Representing and utilizing clinical textual data for real world studies: An OHDSI approach. J. Biomed. Informatics 142: 104343 (2023) - [c86]Griffin Adams, Alexander R. Fabbri, Faisal Ladhak, Noémie Elhadad, Kathleen R. McKeown:
Generating EDU Extracts for Plan-Guided Summary Re-Ranking. ACL (1) 2023: 2680-2697 - [c85]Griffin Adams, Bichlien Nguyen, Jake Smith, Yingce Xia, Shufang Xie, Anna Ostropolets, Budhaditya Deb, Yuan-Jyue Chen, Tristan Naumann, Noémie Elhadad:
What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization. ACL (1) 2023: 10520-10542 - [c84]Griffin Adams, Jason Zuckerg, Noémie Elhadad:
A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarization. MLHC 2023: 2-30 - [c83]Mert Ketenci, Shreyas Bhave, Noemie Elhadad, Adler J. Perotte:
Maximum Likelihood Estimation of Flexible Survival Densities with Importance Sampling. MLHC 2023: 360-380 - [i26]Griffin Adams, Jason Zucker, Noémie Elhadad:
A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarization. CoRR abs/2303.03948 (2023) - [i25]Griffin Adams, Bichlien H. Nguyen, Jake Smith, Yingce Xia, Shufang Xie, Anna Ostropolets, Budhaditya Deb, Yuan-Jyue Chen, Tristan Naumann, Noémie Elhadad:
What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization. CoRR abs/2305.07615 (2023) - [i24]Griffin Adams, Alexander R. Fabbri, Faisal Ladhak, Kathleen R. McKeown, Noémie Elhadad:
Generating EDU Extracts for Plan-Guided Summary Re-Ranking. CoRR abs/2305.17779 (2023) - [i23]Griffin Adams, Alexander R. Fabbri, Faisal Ladhak, Eric Lehman, Noémie Elhadad:
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting. CoRR abs/2309.04269 (2023) - [i22]Mert Ketenci, Adler J. Perotte, Noémie Elhadad, Iñigo Urteaga:
A Coreset-based, Tempered Variational Posterior for Accurate and Scalable Stochastic Gaussian Process Inference. CoRR abs/2311.01409 (2023) - [i21]Mert Ketenci, Shreyas Bhave, Noémie Elhadad, Adler J. Perotte:
Maximum Likelihood Estimation of Flexible Survival Densities with Importance Sampling. CoRR abs/2311.01660 (2023) - 2022
- [j44]Mary Regina Boland, Noémie Elhadad, Wanda Pratt:
Informatics for sex- and gender-related health: understanding the problems, developing new methods, and designing new solutions. J. Am. Medical Informatics Assoc. 29(2): 225-229 (2022) - [j43]Adrienne Pichon, Kasey B. Jackman, Inga T. Winkler, Chris Bobel, Noémie Elhadad:
The messiness of the menstruator: assessing personas and functionalities of menstrual tracking apps. J. Am. Medical Informatics Assoc. 29(2): 385-399 (2022) - [j42]Adrienne Pichon, Kasey B. Jackman, Inga T. Winkler, Chris Bobel, Noémie Elhadad:
Erratum To: The Messiness of The Menstruator: Assessing Personas and Functionalities of Menstrual Tracking Apps. J. Am. Medical Informatics Assoc. 29(2): 412 (2022) - [j41]Sylvia Cho, Ipek Ensari, Noémie Elhadad, Chunhua Weng, Jennifer M. Radin, Brinnae Bent, Pooja M. Desai, Karthik Natarajan:
An interactive fitness-for-use data completeness tool to assess activity tracker data. J. Am. Medical Informatics Assoc. 29(12): 2032-2040 (2022) - [c82]Harry Reyes Nieva, Noemie Elhadad:
Mining the Health Disparities and Minority Health Bibliome: A Computational Scoping Review. AMIA 2022 - [c81]Adrienne Pichon, Iñigo Urteaga, Lena Mamykina, Noemie Elhadad:
Human, Data, and Algorithmic Perspectives to Inform the Design of RL-enabled Self-management Regimens. AMIA 2022 - [c80]Tony Y. Sun, Shreyas Bhave, Jaan Altosaar, Noemie Elhadad:
Assessing Phenotype Definitions for Algorithmic Fairness. AMIA 2022 - [c79]Elliot G. Mitchell, Noemie Elhadad, Lena Mamykina:
Examining AI Methods for Micro-Coaching Dialogs. CHI 2022: 440:1-440:24 - [c78]Griffin Adams, Han-Chin Shing, Qing Sun, Christopher Winestock, Kathleen R. McKeown, Noémie Elhadad:
Learning to Revise References for Faithful Summarization. EMNLP (Findings) 2022: 4009-4027 - [i20]Tony Y. Sun, Shreyas Bhave, Jaan Altosaar, Noémie Elhadad:
Assessing Phenotype Definitions for Algorithmic Fairness. CoRR abs/2203.05174 (2022) - [i19]Griffin Adams, Han-Chin Shing, Qing Sun, Christopher Winestock, Kathleen R. McKeown, Noémie Elhadad:
Learning to Revise References for Faithful Summarization. CoRR abs/2204.10290 (2022) - [i18]Linying Zhang, Lauren R. Richter, Yixin Wang, Anna Ostropolets, Noemie Elhadad, David M. Blei, George Hripcsak:
A Bayesian Causal Inference Approach for Assessing Fairness in Clinical Decision-Making. CoRR abs/2211.11183 (2022) - [i17]Anton Stengel, Jaan Altosaar, Rebecca Dittrich, Noémie Elhadad:
Assisted Living in the United States: an Open Dataset. CoRR abs/2212.14092 (2022) - 2021
- [j40]Jessica M. Schwartz, Amanda J. Moy, Sarah Collins Rossetti, Noémie Elhadad, Kenrick D. Cato:
Clinician involvement in research on machine learning-based predictive clinical decision support for the hospital setting: A scoping review. J. Am. Medical Informatics Assoc. 28(3): 653-663 (2021) - [j39]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 Elias, Holden Groves, Sumit Mohan, Karthik Natarajan, Adler J. Perotte:
Development and validation of prediction models for mechanical ventilation, renal replacement therapy, and readmission in COVID-19 patients. J. Am. Medical Informatics Assoc. 28(7): 1480-1488 (2021) - [j38]Oliver J. Bear Don't Walk IV, Tony Y. Sun, Adler J. Perotte, Noémie Elhadad:
Clinically relevant pretraining is all you need. J. Am. Medical Informatics Assoc. 28(9): 1970-1976 (2021) - [j37]Jessica M. Schwartz, Amanda J. Moy, Sarah Collins Rossetti, Noémie Elhadad, Kenrick D. Cato:
Response to: Looking for clinician involvement under the wrong lamp post: the need for collaboration measures. J. Am. Medical Informatics Assoc. 28(11): 2543-2544 (2021) - [j36]Jessica M. Schwartz, Amanda J. Moy, Sarah Collins Rossetti, Noémie Elhadad, Kenrick D. Cato:
Corrigendum to: Clinician involvement in research on machine learning-based predictive clinical decision support for the hospital setting: A scoping review. J. Am. Medical Informatics Assoc. 28(11): 2545 (2021) - [j35]Kathy Li, Iñigo Urteaga, Amanda Shea, Virginia J. Vitzthum, Chris H. Wiggins, Noémie Elhadad:
A predictive model for next cycle start date that accounts for adherence in menstrual self-tracking. J. Am. Medical Informatics Assoc. 29(1): 3-11 (2021) - [c77]Griffin Adams, Emily Alsentzer, Mert Ketenci, Jason Zucker, Noemie Elhadad:
Exploring Automatic Summarization of the Hospital Course. AMIA 2021 - [c76]Caitlin N. Dreisbach, Katherine South, Theresa A. Koleck, Veronica Barcelona, Lena Mamykina, Noémie Elhadad, Suzanne Bakken:
Informing Symptom Science Using a Citizen Science Application in the COVID-19 Pandemic. AMIA 2021 - [c75]Harry Reyes Nieva, Tony Sun, Sharon Lipsky Gorman, Grace Mao, Noemie Elhadad:
Differential Presentation and Delays in Treatment for Acute Myocardial Infarction Associated with Sex and Race/Ethnicity. AMIA 2021 - [c74]Tony Y. Sun, Oliver J. Bear Don't Walk IV, Jenny Chen, Jaan Altosaar, Harry Reyes Nieva, Noemie Elhadad:
Gender Differences in Time to Diagnosis through Fairness and Time Variant Evaluation of EHR Data. AMIA 2021 - [c73]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:
Scaling Up HCI Research: from Clinical Trials to Deployment in the Wild. CHI Extended Abstracts 2021: 50:1-50:6 - [c72]Iñigo Urteaga, Kathy Li, Amanda Shea, Virginia J. Vitzthum, Chris H. Wiggins, Noemie Elhadad:
A Generative Modeling Approach to Calibrated Predictions: A Use Case on Menstrual Cycle Length Prediction. MLHC 2021: 535-566 - [c71]Griffin Adams, Emily Alsentzer, Mert Ketenci, Jason Zucker, Noémie Elhadad:
What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization. NAACL-HLT 2021: 4794-4811 - [i16]Kathy Li, Iñigo Urteaga, Amanda Shea, Virginia J. Vitzthum, Chris H. Wiggins, Noémie Elhadad:
A generative, predictive model for menstrual cycle lengths that accounts for potential self-tracking artifacts in mobile health data. CoRR abs/2102.12439 (2021) - [i15]Griffin Adams, Emily Alsentzer, Mert Ketenci, Jason Zucker, Noémie Elhadad:
What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization. CoRR abs/2105.00816 (2021) - [i14]Gabriel Reder, Adamo Young, Jaan Altosaar, Jakub Rajniak, Noémie Elhadad, Michael Fischbach, Susan Holmes:
Supervised topic modeling for predicting molecular substructure from mass spectrometry. F1000Research 10: 403 (2021) - 2020
- [j34]Daniel J. Feller, Oliver J. Bear Don't Walk IV, Jason Zucker, Michael T. Yin, Peter Gordon, Noémie Elhadad:
Detecting Social and Behavioral Determinants of Health with Structured and Free-Text Clinical Data. Appl. Clin. Inform. 11(01): 172-181 (2020) - [j33]Ipek Ensari, Adrienne Pichon, Sharon Lipsky Gorman, Suzanne Bakken, Noémie Elhadad:
Augmenting the Clinical Data Sources for Enigmatic Diseases: A Cross-Sectional Study of Self-Tracking Data and Clinical Documentation in Endometriosis. Appl. Clin. Inform. 11(05): 769-784 (2020) - [j32]Daniel J. Feller, Maichou Lor, Jason Zucker, Michael T. Yin, Susan Olender, David C. Ferris, Noémie Elhadad, Lena Mamykina:
An investigation of the information technology needs associated with delivering chronic disease care to large clinical populations. Int. J. Medical Informatics 137: 104099 (2020) - [j31]Yonatan Bitton, Raphael Cohen, Tamar Schifter, Eitan Bachmat, Michael Elhadad, Noémie Elhadad:
Cross-lingual Unified Medical Language System entity linking in online health communities. J. Am. Medical Informatics Assoc. 27(10): 1585-1592 (2020) - [j30]Kathy Li, Iñigo Urteaga, Chris H. Wiggins, Anna Druet, Amanda Shea, Virginia J. Vitzthum, Noémie Elhadad:
Characterizing physiological and symptomatic variation in menstrual cycles using self-tracked mobile-health data. npj Digit. Medicine 3 (2020) - [j29]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, Pat A. Areán, Larsson Omberg:
Indicators of retention in remote digital health studies: a cross-study evaluation of 100, 000 participants. npj Digit. Medicine 3 (2020) - [j28]Iñigo Urteaga, Mollie McKillop, Noémie Elhadad:
Learning endometriosis phenotypes from patient-generated data. npj Digit. Medicine 3 (2020) - [j27]Adrienne Pichon, Kayla Schiffer, Emma Horan, Bria Massey, Suzanne Bakken, Lena Mamykina, Noemie Elhadad:
Divided We Stand: The Collaborative Work of Patients and Providers in an Enigmatic Chronic Disease. Proc. ACM Hum. Comput. Interact. 4(CSCW3): 1-24 (2020) - [c70]Gal Levy-Fix, Jason Zucker, Konstantin Stojanovic, Noémie Elhadad:
Patient Record Summarization Through Joint Phenotype Learning and Interactive Visualization. AMIA 2020 - [c69]Griffin Adams, Mert Ketenci, Shreyas Bhave, Adler J. Perotte, Noémie Elhadad:
Zero-Shot Clinical Acronym Expansion via Latent Meaning Cells. ML4H@NeurIPS 2020: 12-40 - [i13]Gal Levy-Fix, Jason Zucker, Konstantin Stojanovic, Noémie Elhadad:
Towards Patient Record Summarization Through Joint Phenotype Learning in HIV Patients. CoRR abs/2003.11474 (2020) - [i12]Griffin Adams, Mert Ketenci, Adler J. Perotte, Noemie Elhadad:
Zero-Shot Clinical Acronym Expansion with a Hierarchical Metadata-Based Latent Variable Model. CoRR abs/2010.02010 (2020) - [i11]Tony Y. Sun, Oliver J. Bear Don't Walk IV, Jennifer L. Chen, Harry Reyes Nieva, Noémie Elhadad:
Exploring Gender Disparities in Time to Diagnosis. CoRR abs/2011.06100 (2020)
2010 – 2019
- 2019
- [c68]Noémie Elhadad, Iñigo Urteaga, Alison Callahan, Jenna Reps, Patrick B. Ryan:
Learning Across a Healthcare Data Network to Improve Model Robustness and Evidence Reliability. AMIA 2019 - [c67]Daniel J. Feller, Jason Zucker, Oliver J. Bear Don't Walk IV, Michael T. Yin, Peter Gordon, Noemie Elhadad:
Longitudinal analysis of social and behavioral determinants of health in the EHR: exploring the impact of patient trajectories and documentation practices. AMIA 2019 - [c66]Adrienne Pichon, Megan Houterloot, Kayla Schiffer, Emma Horan, Noemie Elhadad:
Get on the Same Page: Negotiating and Aligning Knowledge and Expectations between Patients and Providers through Self-Tracking Artifacts. AMIA 2019 - [c65]Iñigo Urteaga, Tristan Bertin, Theresa M. Hardy, David J. Albers, Noémie Elhadad:
Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics. MLHC 2019: 66-90 - [i10]Gal Levy-Fix, Gilad J. Kuperman, Noémie Elhadad:
Machine Learning and Visualization in Clinical Decision Support: Current State and Future Directions. CoRR abs/1906.02664 (2019) - [i9]Iñigo Urteaga, Tristan Bertin, Theresa M. Hardy, David J. Albers, Noémie Elhadad:
Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics. CoRR abs/1908.10226 (2019) - [i8]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, Pat A. Areán, Larsson Omberg:
Indicators of retention in remote digital health studies: A cross-study evaluation of 100, 000 participants. CoRR abs/1910.01165 (2019) - 2018
- [j26]David J. Albers, Noémie Elhadad, Jan Claassen, Rimma Perotte, Andrew Goldstein, George Hripcsak:
Estimating summary statistics for electronic health record laboratory data for use in high-throughput phenotyping algorithms. J. Biomed. Informatics 78: 87-101 (2018) - [j25]Gal Levy-Fix, Sharon Lipsky Gorman, Jorge L. Sepulveda, Noémie Elhadad:
When to re-order laboratory tests? Learning laboratory test shelf-life. J. Biomed. Informatics 85: 21-29 (2018) - [c64]Tal Baumel, Jumana Nassour-Kassis, Raphael Cohen, Michael Elhadad, Noémie Elhadad:
Multi-Label Classification of Patient Notes: Case Study on ICD Code Assignment. AAAI Workshops 2018: 409-416 - [c63]Daniel J. Feller, Jason Zucker, Oliver J. Bear Don't Walk IV, Bharat Srikishan, Roxana Martinez, Henry Evans, Michael T. Yin, Peter Gordon, Noemie Elhadad:
Towards the Inference of Social and Behavioral Determinants of Sexual Health: Development of a Gold-Standard Corpus with Semi-Supervised Learning. AMIA 2018 - [c62]Oliver J. Bear Don't Walk IV, Jason Zucker, Peter Gordon, Noemie Elhadad, Daniel J. Feller, Bharat Srikishan, Michael T. Yin:
Identifying Clinical Notes with Likely Documentation of Social and Behavioral Determinants of Health. AMIA 2018 - [c61]Jeremy L. Warner, Guergana Savova, Noemie Elhadad, Lisa Bastarache, David Gotz:
Computable Longitudinal Patient Trajectories. AMIA 2018 - [c60]Mollie McKillop, Lena Mamykina, Noémie Elhadad:
Designing in the Dark: Eliciting Self-tracking Dimensions for Understanding Enigmatic Disease. CHI 2018: 565 - [c59]Xenia Miscouridou, Adler J. Perotte, Noemie Elhadad, Rajesh Ranganath:
Deep Survival Analysis: Nonparametrics and Missingness. MLHC 2018: 244-256 - [i7]Iñigo Urteaga, Mollie McKillop, Sharon Lipsky Gorman, Noémie Elhadad:
Phenotyping Endometriosis through Mixed Membership Models of Self-Tracking Data. CoRR abs/1811.03431 (2018) - 2017
- [j24]Shaodian Zhang, Erin O'Carroll Bantum, Jason E. Owen, Suzanne Bakken, Noémie Elhadad:
Online cancer communities as informatics intervention for social support: conceptualization, characterization, and impact. J. Am. Medical Informatics Assoc. 24(2): 451-459 (2017) - [j23]Tian Kang, Shaodian Zhang, Youlan Tang, Gregory William Hruby, Alexander Rusanov, Noémie Elhadad, Chunhua Weng:
EliIE: An open-source information extraction system for clinical trial eligibility criteria. J. Am. Medical Informatics Assoc. 24(6): 1062-1071 (2017) - [j22]Shaodian Zhang, Edouard Grave, Elizabeth Sklar, Noémie Elhadad:
Longitudinal analysis of discussion topics in an online breast cancer community using convolutional neural networks. J. Biomed. Informatics 69: 1-9 (2017) - [c58]Gal Levy-Fix, Sharon Lipsky Gorman, Noemie Elhadad:
When to re-order laboratory tests? Learning lab shelf-life. AMIA 2017 - [c57]Mollie McKillop, Sylvia English, Sharib A. Khan, Chintan Patel, Noemie Elhadad:
Beyond ResearchKit: User Engagement with Phendo, a Novel App for Self-tracking and Research. AMIA 2017 - [c56]Aurélie Névéol, Noémie Elhadad, Sumithra Velupillai, Hua Xu, Guergana Savova:
Clinical Natural Language Processing in Languages Other Than English. AMIA 2017 - [c55]Shaodian Zhang, Tian Kang, Lin Qiu, Weinan Zhang, Yong Yu, Noémie Elhadad:
Cataloguing Treatments Discussed and Used in Online Autism Communities. WWW 2017: 123-131 - [c54]Shaodian Zhang, Lin Qiu, Frank Chen, Weinan Zhang, Yong Yu, Noémie Elhadad:
We Make Choices We Think are Going to Save Us: Debate and Stance Identification for Online Breast Cancer CAM Discussions. WWW (Companion Volume) 2017: 1073-1081 - [i6]Tal Baumel, Jumana Nassour-Kassis, Michael Elhadad, Noémie Elhadad:
Multi-Label Classification of Patient Notes a Case Study on ICD Code Assignment. CoRR abs/1709.09587 (2017) - [i5]Iñigo Urteaga, David J. Albers, Marija Vlajic Wheeler, Anna Druet, Hans Raffauf, Noémie Elhadad:
Towards Personalized Modeling of the Female Hormonal Cycle: Experiments with Mechanistic Models and Gaussian Processes. CoRR abs/1712.00117 (2017) - [i4]Alexandre Yahi, Rami Vanguri, Noémie Elhadad, Nicholas P. Tatonetti:
Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories. CoRR abs/1712.00164 (2017) - 2016
- [j21]Danielle L. Mowery, Brett R. South, Lee M. Christensen, Jianwei Leng, Laura-Maria Peltonen, Sanna Salanterä, Hanna Suominen, David Martínez, Sumithra Velupillai, Noémie Elhadad, Guergana Savova, Sameer Pradhan, Wendy W. Chapman:
Normalizing acronyms and abbreviations to aid patient understanding of clinical texts: ShARe/CLEF eHealth Challenge 2013, Task 2. J. Biomed. Semant. 7: 43 (2016) - [j20]Lena Mamykina, Matthew E. Levine, Patricia G. Davidson, Arlene M. Smaldone, Noémie Elhadad, David J. Albers:
Data-driven health management: reasoning about personally generated data in diabetes with information technologies. J. Am. Medical Informatics Assoc. 23(3): 526-531 (2016) - [j19]Shaodian Zhang, Tian Kang, Xingting Zhang, Dong Wen, Noémie Elhadad, Jianbo Lei:
Speculation detection for Chinese clinical notes: Impacts of word segmentation and embedding models. J. Biomed. Informatics 60: 334-341 (2016) - [c53]Noémie Elhadad, Lena Mamykina, Xinxin Zhu, Eileen Koski:
Patient Generated Data: the Missing Link in Patient Centered Care? AMIA 2016 - [c52]Mollie M. McKillop, Tamer Seckin, Noemie Elhadad:
Qualitative Assessment of Women's Attitudes Towards a Tracking App for Phenotyping Endometriosis. AMIA 2016 - [c51]Adler J. Perotte, Noemie Elhadad:
A probabilistic model for learning relationships between diagnosis codes and clinical free text. AMIA 2016 - [c50]Rimma Pivovarov, Yael J. Coppleson, Sharon Lipsky Gorman, David K. Vawdrey, Noémie Elhadad:
Can Patient Record Summarization Support Quality Metric Abstraction? AMIA 2016 - [c49]Shaodian Zhang, Noemie Elhadad:
Factors Contributing to Dropping-out in an Online Health Community: Static and Longitudinal Analyses. AMIA 2016 - [c48]Rajesh Ranganath, Adler J. Perotte, Noémie Elhadad, David M. Blei:
Deep Survival Analysis. MLHC 2016: 101-114 - [i3]Shaodian Zhang, Edouard Grave, Elizabeth Sklar, Noemie Elhadad:
Longitudinal Analysis of Discussion Topics in an Online Breast Cancer Community using Convolutional Neural Networks. CoRR abs/1603.08458 (2016) - [i2]Rajesh Ranganath, Adler J. Perotte, Noémie Elhadad, David M. Blei:
Deep Survival Analysis. CoRR abs/1608.02158 (2016) - 2015
- [j18]Sameer Pradhan, Noémie Elhadad, Brett R. South, David Martínez, Lee M. Christensen, Amy Vogel, Hanna Suominen, Wendy W. Chapman, Guergana Savova:
Evaluating the state of the art in disorder recognition and normalization of the clinical narrative. J. Am. Medical Informatics Assoc. 22(1): 143-154 (2015) - [j17]Jamie S. Hirsch, Jessica S. Tanenbaum, Sharon Lipsky Gorman, Connie Liu, Eric Schmitz, Dritan Hashorva, Artem Ervits, David K. Vawdrey, Marc Sturm, Noémie Elhadad:
HARVEST, a longitudinal patient record summarizer. J. Am. Medical Informatics Assoc. 22(2): 263-274 (2015) - [j16]Adler J. Perotte, Rajesh Ranganath, Jamie S. Hirsch, David M. Blei, Noémie Elhadad:
Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis. J. Am. Medical Informatics Assoc. 22(4): 872-880 (2015) - [j15]Rimma Pivovarov, Noémie Elhadad:
Automated methods for the summarization of electronic health records. J. Am. Medical Informatics Assoc. 22(5): 938-947 (2015) - [j14]Rimma Pivovarov, Adler J. Perotte, Edouard Grave, John Angiolillo, Chris H. Wiggins, Noémie Elhadad:
Learning probabilistic phenotypes from heterogeneous EHR data. J. Biomed. Informatics 58: 156-165 (2015) - [c47]Byron C. Wallace, Michael J. Paul, Noémie Elhadad:
What Predicts Media Coverage of Health Science Articles? AAAI Workshop: WWW and Public Health Intelligence 2015 - [c46]Edouard Grave, Noémie Elhadad:
A convex and feature-rich discriminative approach to dependency grammar induction. ACL (1) 2015: 1375-1384 - [c45]David J. Albers, Rimma Pivovarov, J. Michael Schmidt, Noemie Elhadad, George Hripcsak:
Model Selection For EHR Laboratory Tests Preserving Healthcare Context and Underlying Physiology. AMIA 2015 - [c44]Tian Kang, Noémie Elhadad, Chunhua Weng:
Initial Readability Assessment of Clinical Trial Eligibility Criteria. AMIA 2015 - [c43]Lena Mamykina, Drashko Nakikj, Noemie Elhadad:
Collective Sensemaking in Online Health Forums. CHI 2015: 3217-3226 - [c42]Rich Caruana, Yin Lou, Johannes Gehrke, Paul Koch, Marc Sturm, Noemie Elhadad:
Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission. KDD 2015: 1721-1730 - [c41]Noémie Elhadad, Sameer Pradhan, Sharon Lipsky Gorman, Suresh Manandhar, Wendy W. Chapman, Guergana K. Savova:
SemEval-2015 Task 14: Analysis of Clinical Text. SemEval@NAACL-HLT 2015: 303-310 - [c40]