Noémie Elhadad | Academic Influence

Noémie Elhadad's AcademicInfluence.com Rankings

Noémie Elhadad

Computer Science

#9752

World Rank

#10230

Historical Rank

Informatics

#69

World Rank

#72

Historical Rank

Computational Linguistics

#2732

World Rank

#2762

Historical Rank

Machine Learning

#4883

World Rank

#4940

Historical Rank

computer-science Degrees

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Computer Science

Noémie Elhadad's Degrees

PhD Biomedical Informatics Columbia University
Masters Computer Science Columbia University
Bachelors Computer Science Columbia University

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Why Is Noémie Elhadad Influential?

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According to Wikipedia, Noémie Elhadad is an American data scientist who is an associate professor of Biomedical Informatics at the Columbia University Vagelos College of Physicians and Surgeons. As of 2022, she serves as the Chair of the Department of Biomedical Informatics. Her research considers machine learning in bioinformatics, natural language processing and medicine.

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Noémie Elhadad's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission (2015) (1175)
An Unsupervised Aspect-Sentiment Model for Online Reviews (2010) (539)
Beyond the Stars: Improving Rating Predictions using Review Text Content (2009) (466)
A review of approaches to identifying patient phenotype cohorts using electronic health records (2013) (406)
Inferring Strategies for Sentence Ordering in Multidocument News Summarization (2002) (370)
A Comparison of Features for Automatic Readability Assessment (2010) (239)
Sentence Alignment for Monolingual Comparable Corpora (2003) (222)
Diagnosis code assignment: models and evaluation metrics (2013) (200)
SemEval-2014 Task 7: Analysis of Clinical Text (2014) (188)
Putting it Simply: a Context-Aware Approach to Lexical Simplification (2011) (180)
Unsupervised biomedical named entity recognition: Experiments with clinical and biological texts (2013) (180)
Multi-Label Classification of Patient Notes a Case Study on ICD Code Assignment (2017) (167)
Automated methods for the summarization of electronic health records (2015) (163)
Deep Survival Analysis (2016) (159)
Cognitively Motivated Features for Readability Assessment (2009) (142)
Hierarchically Supervised Latent Dirichlet Allocation (2011) (133)
Evaluating the state of the art in disorder recognition and normalization of the clinical narrative (2014) (125)
Learning probabilistic phenotypes from heterogeneous EHR data (2015) (117)
HARVEST, a longitudinal patient record summarizer (2014) (113)
Mining a Lexicon of Technical Terms and Lay Equivalents (2007) (105)
Redundancy in electronic health record corpora: analysis, impact on text mining performance and mitigation strategies (2013) (100)
Indicators of retention in remote digital health studies: a cross-study evaluation of 100,000 participants (2019) (100)
An analysis of clinical queries in an electronic health record search utility (2010) (96)
Collective Sensemaking in Online Health Forums (2015) (93)
A practical approach for content mining of Tweets. (2013) (90)
Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis (2015) (89)
Sentence Ordering in Multidocument Summarization (2001) (86)
Customization in a unified framework for summarizing medical literature (2005) (85)
Identifying and mitigating biases in EHR laboratory tests (2014) (77)
Comprehending Technical Texts: Predicting and Defining Unfamiliar Terms (2006) (76)
Extracting Structured Medication Event Information from Discharge Summaries (2008) (74)
Task 1: ShARe/CLEF eHealth Evaluation Lab 2013 (2013) (73)
Online cancer communities as informatics intervention for social support: conceptualization, characterization, and impact (2016) (72)
Using Clinical Notes and Natural Language Processing for Automated HIV Risk Assessment (2017) (72)
SemEval-2015 Task 14: Analysis of Clinical Text (2015) (68)
Section classification in clinical notes using supervised hidden markov model (2010) (68)
EliIE: An open-source information extraction system for clinical trial eligibility criteria (2017) (68)
Towards generating patient specific summaries of medical articles (2001) (66)
Leveraging a common representation for personalized search and summarization in a medical digital library (2003) (65)
Automated Knowledge Acquisition from Clinical Narrative Reports (2008) (64)
Redundancy-Aware Topic Modeling for Patient Record Notes (2014) (62)
Task 2 : ShARe/CLEF eHealth Evaluation Lab 2014 (2013) (61)
Indicators of retention in remote digital health studies: a cross-study evaluation of 100,000 participants. (2020) (59)
Aspiring to Unintended Consequences of Natural Language Processing: A Review of Recent Developments in Clinical and Consumer-Generated Text Processing (2016) (51)
A hybrid knowledge-based and data-driven approach to identifying semantically similar concepts (2012) (51)
Longitudinal analysis of discussion topics in an online breast cancer community using convolutional neural networks (2016) (49)
Natural Language Processing in Health Care and Biomedicine (2014) (47)
Dynamical Phenotyping: Using Temporal Analysis of Clinically Collected Physiologic Data to Stratify Populations (2014) (41)
Cognitive analysis of the summarization of longitudinal patient records. (2010) (40)
Data-driven health management: reasoning about personally generated data in diabetes with information technologies (2016) (40)
Designing in the Dark: Eliciting Self-tracking Dimensions for Understanding Enigmatic Disease (2018) (39)
Detecting Social and Behavioral Determinants of Health with Structured and Free-Text Clinical Data (2020) (38)
Survival analysis with electronic health record data: Experiments with chronic kidney disease (2014) (38)
Temporal trends of hemoglobin A1c testing (2014) (36)
Facilitating Physicians' Access to Information via Tailored Text Summarization (2005) (35)
Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories (2017) (35)
Characterizing physiological and symptomatic variation in menstrual cycles using self-tracked mobile-health data (2019) (33)
Comparing evaluation techniques for text readability software for adults with intellectual disabilities (2009) (33)
Speculation detection for Chinese clinical notes: Impacts of word segmentation and embedding models (2016) (32)
Characterizing the Sublanguage of Online Breast Cancer Forums for Medications, Symptoms, and Emotions (2014) (32)
Content and Structure of Clinical Problem Lists: A Corpus Analysis (2008) (32)
Deep Survival Analysis: Nonparametrics and Missingness (2018) (31)
Cancer Stage Prediction Based on Patient Online Discourse (2010) (30)
Detecting salient aspects in online reviews of health providers. (2010) (28)
Use of Semantic Features to Classify Patient Smoking Status (2008) (27)
Research Paper: Using Empiric Semantic Correlation to Interpret Temporal Assertions in Clinical Texts (2009) (26)
Does Sustained Participation in an Online Health Community Affect Sentiment? (2014) (26)
User-sensitive text summarization: application to the medical domain (2006) (25)
The Survival Filter: Joint Survival Analysis with a Latent Time Series (2015) (25)
Normalizing acronyms and abbreviations to aid patient understanding of clinical texts: ShARe/CLEF eHealth Challenge 2013, Task 2 (2016) (24)
“You’re as Sick as You Sound”: Using Computational Approaches for Modeling Speaker State to Gauge Illness and Recovery (2010) (23)
“We make choices we think are going to save us”: Debate and stance identification for online breast cancer CAM discussions (2017) (23)
Corpus-Based Problem Selection for EHR Note Summarization. (2010) (22)
A convex and feature-rich discriminative approach to dependency grammar induction (2015) (21)
Cross-narrative Temporal Ordering of Medical Events (2014) (21)
Predicting delayed cerebral ischemia after subarachnoid hemorrhage using physiological time series data (2019) (20)
Clinician involvement in research on machine learning-based predictive clinical decision support for the hospital setting: A scoping review (2020) (20)
Characterizing physiological and symptomatic variation in menstrual cycles using self-tracked mobile-health data. (2020) (19)
Deep‐learning approaches to identify critically Ill patients at emergency department triage using limited information (2020) (17)
Estimating summary statistics for electronic health record laboratory data for use in high-throughput phenotyping algorithms (2018) (17)
Learning endometriosis phenotypes from patient-generated data (2020) (16)
Towards the Inference of Social and Behavioral Determinants of Sexual Health: Development of a Gold-Standard Corpus with Semi-Supervised Learning (2018) (16)
What’s in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization (2021) (16)
A new clustering method for detecting rare senses of abbreviations in clinical notes (2012) (14)
Collection and linguistic processing of a large-scale corpus of medical articles (2002) (12)
Development and validation of prediction models for mechanical ventilation, renal replacement therapy, and readmission in COVID-19 patients (2021) (12)
Cataloguing Treatments Discussed and Used in Online Autism Communities (2017) (11)
Information Extraction from Social Media for Public Health (2014) (11)
Machine Learning and Visualization in Clinical Decision Support: Current State and Future Directions (2019) (9)
Lessons Learned in Replicating Data-Driven Experiments in Multiple Medical Systems and Patient Populations (2013) (9)
Can Patient Record Summarization Support Quality Metric Abstraction? (2016) (9)
Incorporating High-Frequency Physiologic Data Using Computational Dictionary Learning Improves Prediction of Delayed Cerebral Ischemia Compared to Existing Methods (2018) (9)
User-Sensitive Text Summarization (2004) (8)
Characterizing the (Perceived) Newsworthiness of Health Science Articles: A Data-Driven Approach (2016) (8)
Machine learning to extract communication and history‐taking skills in OSCE transcripts (2020) (8)
Initial Readability Assessment of Clinical Trial Eligibility Criteria (2015) (8)
Modeling Clinical Context: Rediscovering the Social History and Evaluating Language from the Clinic to the Wards (2014) (8)
Factors Contributing to Dropping-out in an Online Health Community: Static and Longitudinal Analyses (2016) (8)
Phenotyping Endometriosis through Mixed Membership Models of Self-Tracking Data (2018) (8)
Perplexity Analysis of Obesity News Coverage (2009) (7)
A predictive model for next cycle start date that accounts for adherence in menstrual self-tracking (2021) (7)
Zero-Shot Clinical Acronym Expansion via Latent Meaning Cells (2020) (7)
Clinically relevant pretraining is all you need (2021) (6)
The messiness of the menstruator: assessing personas and functionalities of menstrual tracking apps (2021) (6)
Natural Language Processing for Health-Related Texts (2021) (6)
Longitudinal analysis of social and behavioral determinants of health in the EHR: exploring the impact of patient trajectories and documentation practices (2020) (6)
An investigation of the information technology needs associated with delivering chronic disease care to large clinical populations (2020) (6)
Learning to Revise References for Faithful Summarization (2022) (5)
Machine Learning for Identifying Emotional Expression in Text: Improving the Accuracy of Established Methods (2017) (5)
Towards Personalized Modeling of the Female Hormonal Cycle: Experiments with Mechanistic Models and Gaussian Processes (2017) (5)
Exploring Gender Disparities in Time to Diagnosis (2020) (5)
Learning endometriosis phenotypes from patient-generated data. (2020) (5)
Divided We Stand (2021) (5)
User-sensitive text summarization thesis summary (2004) (4)
From Personal Informatics to Personal Analytics: Investigating How Clinicians and Patients Reason About Personal Data Generated with Self-Monitoring in Diabetes (2017) (4)
Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics (2019) (4)
Augmenting the Clinical Data Sources for Enigmatic Diseases: A Cross-Sectional Study of Self-Tracking Data and Clinical Documentation in Endometriosis (2020) (4)
What Predicts Media Coverage of Health Science Articles? (2015) (4)
Annotating the Clinical Text – MiPACQ, ShARe, SHARPn and THYME Corpora (2017) (3)
Cross-lingual Unified Medical Language System entity linking in online health communities (2020) (3)
A Generative Modeling Approach to Calibrated Predictions: A Use Case on Menstrual Cycle Length Prediction (2021) (3)
Examining AI Methods for Micro-Coaching Dialogs (2022) (3)
Patient-centered tools for medication information search (2014) (3)
Fine-scale genetic ancestry as a potential new tool for precision medicine (2021) (3)
Reduced model for female endocrine dynamics: Validation and functional variations. (2020) (3)
Labels for Disorder Mentions in Online Health Forums (2013) (3)
Inference of causal relationships based on the genetics of cardiometabolic traits and conditions unique to females in >50,000 participants (2022) (3)
When to re-order laboratory tests? Learning laboratory test shelf-life (2018) (2)
HIV Risk Assessment using Longitudinal Electronic Health Records (2017) (2)
Towards Patient Record Summarization Through Joint Phenotype Learning in HIV Patients (2020) (2)
A generative, predictive model for menstrual cycle lengths that accounts for potential self-tracking artifacts in mobile health data (2021) (2)
Model Selection For EHR Laboratory Tests Preserving Healthcare Context and Underlying Physiology (2015) (2)
A scoping review of ethics considerations in clinical natural language processing (2022) (2)
Supervised topic modeling for predicting molecular substructure from mass spectrometry (2021) (2)
Remedy: Supporting consumer-centered medication information search (2013) (2)
A mixed methods study evaluating acceptability of a daily COVID-19 testing regimen with a mobile-app connected, at-home, rapid antigen test: Implications for current and future pandemics (2022) (1)
Patient Generated Data: the Missing Link in Patient Centered Care? (2016) (1)
Machine Learning Methods for Predicting Patient-Level Emergency Department Workload. (2022) (1)
Assessing Phenotype Definitions for Algorithmic Fairness (2022) (1)
Patient Record Summarization Through Joint Phenotype Learning and Interactive Visualization (2020) (1)
Qualitative Assessment of Women's Attitudes Towards a Tracking App for Phenotyping Endometriosis (2016) (1)
Scaling Up HCI Research: from Clinical Trials to Deployment in the Wild. (2021) (1)
A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarization (2023) (1)
Disease/Disorder Semantic Template Filling - Information Extraction Challenge in the ShARe/CLEF eHealth Evaluation Lab 2014 (2014) (1)
Normalizing acronyms and abbreviations to aid patient understanding of clinical texts: ShARe/CLEF eHealth Challenge 2013, Task 2 (2016) (1)
Associations between physical exercise patterns and pain symptoms in individuals with endometriosis: a cross-sectional mHealth-based investigation (2022) (1)
Association of Race and Ethnicity With Triage Emergency Severity Index Scores and Total Visit Work Relative Value Units for Emergency Department Patients (2022) (1)
Gender Differences in Time to Diagnosis through Fairness and Time Variant Evaluation of EHR Data (2021) (0)
Informatics for sex- and gender-related health: understanding the problems, developing new methods, and designing new solutions (2022) (0)
A Bayesian Causal Inference Approach for Assessing Fairness in Clinical Decision-Making (2022) (0)
Corrigendum to: Clinician involvement in research on machine learning-based predictive clinical decision support for the hospital setting: A scoping review (2021) (0)
Differential Presentation and Delays in Treatment for Acute Myocardial Infarction Associated with Sex and Race/Ethnicity (2021) (0)
PERSIVAL: personalized summarization over multimedia health-care information (2001) (0)
Inference of Causal Relationships Between Genetic Risk Factors for Cardiometabolic Phenotypes and Female-Specific Health Conditions. (2023) (0)
Correction to: Machine Learning for Identifying Emotional Expression in Text: Improving the Accuracy of Established Methods (2020) (0)
mHealth for research (2021) (0)
Practice Note: ‘If Only All Women Menstruated Exactly Two Weeks Ago’: Interdisciplinary Challenges and Experiences of Capturing Hormonal Variation Across the Menstrual Cycle (2020) (0)
Computational Approaches to Modeling Speaker State in the Medical Domain (2010) (0)
Beyond ResearchKit: User Engagement with Phendo, a Novel App for Self-tracking and Research (2017) (0)
Identifying Clinical Notes with Likely Documentation of Social and Behavioral Determinants of Health (2018) (0)
A probabilistic model for learning relationships between diagnosis codes and clinical free text (2016) (0)
Model selection for EHR laboratory variables: how physiology and the health care process can influence EHR laboratory data and their model representations (2014) (0)
Representing and Utilizing Clinical Textual Data for Real World Studies: An OHDSI Approach. (2023) (0)
Exploring Automatic Summarization of the Hospital Course (2021) (0)
Using patient laboratory measurement values and dynamics to deconvolve EHR bias and define acuity-based phenotypes (2013) (0)
Terminology Questions in Texts Authored by Patients (2014) (0)
User-Sensitive Summarization Thesis Proposal (0)
Mining the Health Disparities and Minority Health Bibliome: A Computational Scoping Review (2022) (0)
Correction to: Machine Learning for Identifying Emotional Expression in Text: Improving the Accuracy of Established Methods (2020) (0)
Get on the Same Page: Negotiating and Aligning Knowledge and Expectations between Patients and Providers through Self-Tracking Artifacts (2019) (0)
Panel: Shared Resources, Shared Code, and Shared Activities in Clinical Natural Language Processing (2013) (0)
Learning Across a Healthcare Data Network to Improve Model Robustness and Evidence Reliability (2019) (0)
An interactive fitness-for-use data completeness tool to assess activity tracker data (2022) (0)
Informing Symptom Science Using a Citizen Science Application in the COVID-19 Pandemic (2021) (0)
Response to: Looking for clinician involvement under the wrong lamp post: the need for collaboration measures (2021) (0)
ANTIRACIST AI: A MACHINE LEARNING MODEL USING ELECTROCARDIOGRAMS AND ECHOCARDIOGRAMS CAN DETECT TRANSTHYRETIN CARDIAC AMYLOIDOSIS AND DECREASE RACIAL BIAS IN DIAGNOSTIC TESTING (2023) (0)
Zero-Shot Clinical Acronym Expansion with a Hierarchical Metadata-Based Latent Variable Model (2020) (0)
Redundancy in electronic health record corpora: analysis, impact on text mining performance and mitigation strategies (2013) (0)
Computable Longitudinal Patient Trajectories (2018) (0)
HARVEST, a Holistic Patient Record Summarizer at the Point of Care (2014) (0)
Older Adult Engagement With Symptom Reporting in a COVID-19 Citizen Science Application. (2023) (0)
The Politics, Promises, and Perils of Data: Evidence-Driven Policy and Practice for Menstrual Health. (2020) (0)
Human, Data, and Algorithmic Perspectives to Inform the Design of RL-enabled Self-management Regimens (2022) (0)
Erratum To: The Messiness of The Menstruator: Assessing Personas and Functionalities of Menstrual Tracking Apps (2021) (0)
Assisted Living in the United States: an Open Dataset (2022) (0)
Women’s Experiences of Symptoms of Suspected or Confirmed COVID-19 Illness During the Pandemic (2022) (0)
When to re-order laboratory tests? Learning lab shelf-life (2017) (0)
Machine Learning for Identifying Emotional Expression in Text: Improving the Accuracy of Established Methods (2017) (0)
Factors associated with HIV Prognosis in Rural Uganda: Sequence-mining the Medical Record (2013) (0)

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