World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
12662
World Ranking
4296
National Ranking
127

Overview

Wendy W. Chapman is affiliated with the University of Melbourne in Australia. Their research primarily focuses on medicine and health professions, with substantial contributions to the fields of general health professions and public health, environmental and occupational health.

Their scholarly output includes a substantial number of publications related to telemedicine and telehealth implementation, mobile health and mHealth applications, as well as digital mental health interventions. Additional areas of interest cover heart failure treatment and management, healthcare systems and technology, health systems economic evaluations, and health disparities and outcomes.

Frequent venues for their publications include Studies in Health Technology and Informatics, where they have contributed six papers, followed by BMC Health Services Research with three publications. Other regular venues are the Journal of Biomedical Informatics, JAMIA Open, and JAMA Network Open, each hosting multiple papers.

Wendy W. Chapman has collaborated extensively with several researchers. Frequent co-authors include Daniel Capurro with ten joint works, Kara Burns with seven, Kayley Lyons with seven, Mahima Kalla with seven, and Kit Huckvale with six publications.

The scientist's recent notable papers are as follows:

  • Implementability of healthcare interventions: an overview of reviews and development of a conceptual framework, 2022, Implementation Science
  • A Proposed Framework on Integrating Health Equity and Racial Justice into the Artificial Intelligence Development Lifecycle, 2021, Journal of Health Care for the Poor and Underserved
  • Comparative Effectiveness of Carotid Endarterectomy vs Initial Medical Therapy in Patients With Asymptomatic Carotid Stenosis, 2020, JAMA Neurology
  • Artificial Intelligence and Deep Learning for Rheumatologists, 2022, Arthritis & Rheumatology
  • Establishing a multidisciplinary initiative for interoperable electronic health record innovations at an academic medical center, 2021, JAMIA Open

Best Publications

  • Natural language processing: an introduction.

    Prakash M. Nadkarni;Lucila Ohno-Machado;Wendy Webber Chapman

  • A simple algorithm for identifying negated findings and diseases in discharge summaries

    Wendy Webber Chapman;Will Bridewell;Paul Hanbury;Gregory F. Cooper

  • Methodological Review: What can natural language processing do for clinical decision support?

    Dina Demner-Fushman;Wendy W. Chapman;Clement J. McDonald

  • ConText: An algorithm for determining negation, experiencer, and temporal status from clinical reports

    Henk Harkema;John N. Dowling;Tyler Thornblade;Wendy W. Chapman

  • Using Twitter to Examine Smoking Behavior and Perceptions of Emerging Tobacco Products

    Mark Myslín;Shu Hong Zhu;Wendy Chapman;Mike Conway

  • Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions

    Wendy Webber Chapman;Prakash M. Nadkarni;Lynette Hirschman;Leonard W. D'Avolio;Leonard W. D'Avolio

  • Automatic Detection of Acute Bacterial Pneumonia from Chest X-ray Reports

    M Fiszman;W W Chapman;D Aronsky;R S Evans

  • Overview of the ShARe/CLEF eHealth Evaluation Lab 2013

    Hanna Suominen;Sanna Salanterä;Sumithra Velupillai;Wendy W. Chapman

  • Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances

    Sumithra Velupillai;Sumithra Velupillai;Hanna Suominen;Hanna Suominen;Maria Liakata;Angus Roberts

  • Evaluation of negation phrases in narrative clinical reports.

    Wendy W. Chapman;Will Bridewell;Paul Hanbury;Gregory F. Cooper

  • Classifying free-text triage chief complaints into syndromic categories with natural languages processing

    Wendy W. Chapman;Lee M. Christensen;Michael M. Wagner;Peter J. Haug

  • SemEval-2015 Task 14: Analysis of Clinical Text

    Noémie Elhadad;Sameer Pradhan;Sharon Gorman;Suresh Manandhar

  • Using Natural Language Processing to Improve Efficiency of Manual Chart Abstraction in Research: The Case of Breast Cancer Recurrence

    David S. Carrell;Scott Halgrim;Diem Thy Tran;Diana S M Buist

  • ConText: An Algorithm for Identifying Contextual Features from Clinical Text

    Wendy Chapman;John Dowling;David Chu

  • Public sharing of research datasets: a pilot study of associations

    Heather A. Piwowar;Wendy Webber Chapman

  • Automated syndromic surveillance for the 2002 Winter Olympics.

    Per H. Gesteland;Reed M. Gardner;Fu-Chiang Tsui;Jeremy U. Espino

  • Evaluating the state of the art in disorder recognition and normalization of the clinical narrative.

    Sameer Pradhan;Noémie Elhadad;Brett R. South;David Martínez

  • Overview of the ShARe/CLEF eHealth evaluation lab 2014

    Liadh Kelly;Lorraine Goeuriot;Hanna Suominen;Tobias Schreck

  • Analysis of Web access logs for surveillance of influenza.

    Heather A. Johnson;Michael M. Wagner;William R. Hogan;Wendy W. Chapman

  • Document-level classification of CT pulmonary angiography reports based on an extension of the ConText algorithm

    Brian E. Chapman;Sean Lee;Hyunseok Peter Kang;Wendy W. Chapman

  • iDASH: integrating data for analysis, anonymization, and sharing

    Lucila Ohno-Machado;Vineet Bafna;Aziz A Boxwala;Brian E Chapman

  • A common type system for clinical natural language processing

    Stephen T Wu;Vinod C Kaggal;Dmitriy Dligach;James J Masanz

Frequent Co-Authors

Guergana Savova
Guergana Savova Harvard University
Peter J. Haug
Peter J. Haug University of Utah
Noémie Elhadad
Noémie Elhadad Columbia University
Sameer Pradhan
Sameer Pradhan Vassar College
Gregory F. Cooper
Gregory F. Cooper University of Pittsburgh
Janyce Wiebe
Janyce Wiebe University of Pittsburgh
Bruce G. Buchanan
Bruce G. Buchanan University of Pittsburgh
Christopher G. Chute
Christopher G. Chute Johns Hopkins University
Martha Palmer
Martha Palmer University of Colorado Boulder
Susan L. Beck
Susan L. Beck University of Arizona

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Considering a Computer Science degree in the USA opens up many interdisciplinary opportunities. Many students look into related fields, exploring online degrees in subjects like mechanical and electrical engineering, as well as physics and data science.

If affordability is important, you may be interested in the cheapest online mechanical engineering degree programs, which can expand your skill set for positions in automation, robotics, and design.

For those curious about science fundamentals, it’s now possible to get a physics degree online. These programs combine theory with practical skills useful in technology-driven roles.

As tech trends evolve, a data science learning path enhances your ability to analyze and interpret big data—skills increasingly valuable alongside computer science.

Explore the best online electrical engineering programs USA to discover additional high-demand pathways. These options provide flexibility and specialization, helping you tailor your education and career to your interests.

Best Scientists Citing Wendy W. Chapman

Trending Scientists

Recently Published Articles