KMap
Gondy Leroy joined the Eller College of Management in 2013. Before coming to Eller, she taught at Claremont Graduate College, which she joined after earning her PhD in Management Information Systems from the University of Arizona in 2003. Her areas of expertise include natural language processing, text mining, text analytics, search engines, information retrieval and extraction and understanding by consumers, medical and biomedical informatics and human computer interaction and user studies. She is a member of the Association for Information Systems (AIS), the Eller College Diversity and Inclusion Task Force and a senior member of the Institute of Electrical and Electronics Engineers.

VOSviewer

Courses
  • WCM
    Web Computing and Mining

  • DMBI
    Data Mining for Business Intelligence

  • HIS
    Healthcare Information Systems

  • TDWM
    Topics in Data and Web Mining

Grants
  • Funding agency logo
    Lung Cancer Screening Project, Machine Learning to Automate Lung Nodule Classification on Lung Cancer Screening CT

    Co-Investigator (COI)

    2022

    $70.5K
    Active
  • Funding agency logo
    Conference: IEEE International Conference on Healthcare Informatics 2022

    Principal Investigator (PI)

    2022

    $14.0K
    Active
  • Funding agency logo
    Health Information Technology to Support Autism Spectrum Disorders (ASD) Risk Assessment for Early Diagnosis

    Principal Investigator (PI)

    2021

    $1.1M
    Active
  • Funding agency logo
    Audio Generation and Optimization from Existing Resources for Patient Education

    Principal Investigator (PI)

    2021

    $1.0M
    Active
  • Funding agency logo
    Arizona Developmental Disabilities Surveillance Program (ADDSP)

    Co-Investigator (COI)

    2019

    $1.6M
    Active
  • Funding agency logo
    Conference Support Proposal: IEEE International Conference on Healthcare Informatics 2020

    Principal Investigator (PI)

    2020

    $14.0K
  • Funding agency logo
    Women in Cybersecurity Conference 2017 (WiCyS 2017)

    Co-Investigator (COI)

    2017

    $345.9K
  • Funding agency logo
    Enabling Large-Scale Research on Autism Spectrum Disorders through Automated Processing of EHR Using Natural Language Understanding

    Principal Investigator (PI)

    2017

    $292.4K
  • Funding agency logo
    Arizona Developmental Disabilities Surveillance Program (ADDSP)

    Co-Investigator (COI)

    2015

    $2.3M
  • Funding agency logo
    Evidence-Based Strategy and Tool to Simplify Text for Patients and Consumers

    Principal Investigator (PI)

    2015

    $1.5M
News
  • Researchers Get $1.4M for Tool to Simplify Health Info

    2015

  • UA Receives $2 Million for Autism Spectrum Disorders

    2015

Publications (75)
Recent
  • Improving the Quality of Suggestions for Medical Text Simplification Tools

    2022

  • Evaluation of an Online Text Simplification Editor Using Manual and Automated Metrics for Perceived and Actual Text Difficulty

    2021

  • Psycholinguistic Markers of COVID-19 Conspiracy Tweets and Predictors of Tweet Dissemination

    2021

  • Factors Influencing Willingness to Share Health Misinformation Videos on the Internet: Web-Based Survey

    2021

  • The Impact of Missing Functional Elements on Text and Audio Comprehension

    2021

  • Comparison of women and men in biomedical informatics scientific dissemination: retrospective observational case study of the AMIA Annual Symposium: 2017-2020

    2021

  • Use of Conventional Machine Learning to Optimize Deep Learning Hyper-parameters for NLP Labeling Tasks

    2020

  • Clinician Practice Patterns that Result in the Diagnosis of Coccidioidomycosis Before or During Hospitalization

    2020

  • The Autocomplete for Medical Text Simplification

    2020

  • Informatics Approaches for Recognition, Management, and Prevention of Occupational Respiratory Disease

    2020

  • Large-scale Analysis of Free-Text Data for Mental Health Surveillance with Topic Modelling

    2020

  • A Web-Based Medical Text Simplification Tool

    2020

  • COVID-19 Tweets: Implications for Public Health

    2020

  • Automated Training Data Discovery and Labelling for Machine Learning in a Low Resource Domain

    2019

  • Mechanisms for Automatic Training Data Labeling for Machine Learning

    2019

  • Classification with Feature and Algorithm Machine Learning Ensembles for Autism Spectrum Disorders

    2019

  • 2018 Salary Survey of AMIA Members: Factors Associated with Higher Salaries

    2019

  • Understanding Limitations of Deep Learning for Text in a Low-Resource Domain: A Case Study with Autism Diagnostic Criteria Detection from EHR

    2019

  • Predicting Transition Words Between Sentence for English and Spanish Medical Text

    2019

  • A comparison of text versus audio for information comprehension with future uses for smart speakers

    2019

  • Splitting Sentences for Text Simplification: A Machine Learning Approach

    2018

  • Using Lexical Chains to Identify Text Difficulty: A Corpus Statistics and Classification Study

    2018

  • SubSimplify – Automatically generating term explanations in English and Spanish when expert and big data dictionaries are insufficient

    2018

  • Insights from Twitter about Public Perceptions of Asthma, COPD, and Exposures

    2018

  • Health Information Technology: Promise and Progress

    2018

  • Optimizing Corpus Creation for Training Word Embedding in Low Resource Domains: A Case Study in Autism Spectrum Disorder (ASD)

    2018

  • Automated Extraction of Diagnostic Criteria from Electronic Health Recordes for Autism Spectrum Disorders: Development, Evaluation and Case Study

    2018

  • Algorithmic Generation of Grammar Simplification Rules Using Large Corpora

    2018

  • Social media use for occupational lung disease.

    2017

  • When synonyms are not enough: Optimal parenthetical insertion for text simplification

    2017

  • FEASABILITY AND UTILITY OF LEXICAL ANALYSIS IN OCCUPATIONAL HEALTH FREE TEXT

    2017

  • Assessing the Feasibility of Using Technology for Health Promotion: American Indian Youth Medical Wellness Camp

    2017

  • The Role of Surface, Semantic and Grammatical Features on Simplification of Spanish Medical Texts: A User Study

    2017

  • Measuring Text Difficulty Using Parse-Tree Frequency

    2017

  • A New Parser for Medical Text Simplification Using Morphological, Sentential and Double Negation

    2017

  • Automated Pattern Extraction for Recognizing DSM Diagnostic Criteria for Autism Spectrum Disorder in Mental Health EHR

    2017

  • Effects on Text Simplification: Evaluation of Splitting Up Noun Phrases

    2016

  • Public sharing of medical advice using social media: an analysis of a Twitter

    2015

  • Effects of Text Simplification: Evalution of Splitting up Noun Phrases

    2015

  • Assessing Work–Asthma Interaction With Amazon Mechanical Turk

    2015

  • Grammar Familiarity: Parse-Tree Based Frequency Measure of Text Difficulty

    2015

  • Text Simplification Tools: Using Machine Learning to Discover Features that Identify Difficult Text

    2014

  • Overview of the ShARe/CLEF eHealth Evaluation Lab 2014

    2014

  • A Decision Support System: Automated Crime Report Analysis and Classification for e-Government

    2014

  • We Know Where You Are Tweeting from: Assigning a Type of Place to Tweets using Natural Language Processing and Random Forests

    2014

  • The effect of word familiarity on actual and perceived text difficulty

    2014

  • Big Data For Query Expansion: A Comparison of Content-based versus Social-based Keywords

    2014

  • Smart and Connected Health (Guest Editor Introduction)

    2014

  • Does query expansion limit our learning? A comparison of social-based expansion to content-based expansion for medical queries on the internet

    2014

  • User evaluation of the effects of a text simplification algorithm using term familiarity on perception, understanding, learning, and information retention

    2013

  • A user-study measuring the effects of lexical simplification and coherence enhancement on perceived and actual text difficulty

    2013

  • Improving perceived and actual text difficulty for health information consumers using semi-automated methods

    2012

  • A smart-phone application and a companion website for the improvement of the communication skills of children with autism: clinical rationale, technical development and preliminary results

    2011

  • Perils of providing visual health information overviews for consumers with low health literacy or high stress

    2010

  • The influence of text characteristics on perceived and actual difficulty of health information

    2010

  • An online community for teachers of children with autism to support, observe, and evaluate communication enabled with smartphones

    2008

  • Evaluating online health information: beyond readability formulas

    2008

  • Developing informatics tools and strategies for consumer-centered health communication

    2008

  • Making primarily professional terms more comprehensible to the lay audience

    2008

  • Visualization of health information with predications extracted using natural language processing and filtered using the UMLS

    2008

  • Consumer health concepts that do not map to the UMLS: where do they fit?

    2008

  • Dynamic generation of a table of contents with consumer-friendly labels

    2006

  • Health information text characteristics

    2006

  • Communication software using pictures for use with Pocket PCs

    2005

  • Effects of information and machine learning algorithms on word sense disambiguation with small datasets

    2005

  • Using symbolic knowledge in the UMLS to disambiguate words in small datasets with a naïve Bayes classifier

    2004

  • A shallow parser based on closed-class words to capture relations in biomedical text

    2003

  • Meeting medical terminology needs--the Ontology-Enhanced Medical Concept Mapper.

    2001

Grants
Citations
H-Index
Patents
News
Books
Opportunities