Cynthia Lokker

Assistant Professor

McMaster University

Canada

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Cynthia Lokker is an Assistant Professor at McMaster University in Canada. Her research focuses on health informatics, the impact of artificial intelligence in medical research, and behavioral health strategies, as evidenced by her recent articles exploring methodologies in clinical studies and public health during the COVID-19 pandemic. She is particularly interested in the use of language models and sentiment analysis to assess public perspectives on chronic health conditions. Dr. Lokker actively contributes to the ongoing discourse on innovative health interventions and the integration of technology in healthcare.

Articles (20)

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2025

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2022

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2021

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2021

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2021

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2020

Collaborators (16)

Maryam Ghasemaghaei

McMaster University

CANADA

Cynthia Lokker

Research Interests

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Articles (20)

Impact of the COVID-19 Pandemic and the 2021 National Institute for Health and Care Excellence Guidelines on Public Perspectives Toward Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: Thematic and Sentiment Analysis on Twitter (Rebranded as X)

A pilot pragmatic randomized controlled trial of a 12-month Healthy Lifestyles Program: A collaborative care model for chronic conditions addressing behavioural change

Benchmarking domain-specific pretrained language models to identify the best model for methodological rigor in clinical studies

Policies on artificial intelligence chatbots among academic publishers: a cross-sectional audit

Attitudes and perceptions of medical researchers towards the use of artificial intelligence chatbots in the scientific process: an international cross-sectional survey

Boosting efficiency in a clinical literature surveillance system with LightGBM

The McMaster Health Information Research Unit: Over a Quarter-Century of Health Informatics Supporting Evidence-Based Medicine

Methodological Challenges in Randomized Controlled Trials of mHealth Interventions: Cross-Sectional Survey Study and Consensus-Based Recommendations

On the Journey: a qualitative study of a community-based, client-centred eating disorder recovery group

Deep learning to refine the identification of high-quality clinical research articles from the biomedical literature: Performance evaluation

Public health surveillance of behavioral cancer risk factors during the COVID-19 pandemic: Sentiment and emotion analysis of Twitter data (Preprint)

Enhanced recovery support for people with eating disorders during the COVID-19 pandemic: quality improvement using a web-based, stepped-care programme in Canada

Tracking discussions of complementary, alternative, and integrative medicine in the context of the COVID-19 pandemic: a month-by-month sentiment analysis of Twitter data

Considerations for Conducting Bring Your Own “Device” (BYOD) Clinical Studies

Evaluating reflective writing to guide curricular improvements in health informatics education

Knowledge translation strategies for sharing evidence-based health information with older adults and their caregivers: findings from a persona-scenario method

Machine Learning Approaches to Retrieve High-Quality, Clinically Relevant Evidence From the Biomedical Literature: Systematic Review

eHealth Implementation Issues in Low-Resource Countries: Model, Survey, and Analysis of User Experience

Feasibility of a Web-Based Platform (Trial My App) to Efficiently Conduct Randomized Controlled Trials of mHealth Apps For Patients With Cardiovascular Risk Factors: Protocol For Evaluating an mHealth App for Hypertension

Health programmes and services addressing the prevention and management of infectious diseases in persons who inject drugs in Canada: a systematic integrative review protocol.

Collaborators (16)

Maryam Ghasemaghaei

Laura Anderson

Robert Brian Haynes

Elizabeth Alvarez

Alfonso Iorio

Norm Archer

Rebecca Ganann

Leigh M. Vanderloo

Jason W Busse

Muhammad Afzal

John Lavis

Ruta Valaitis

Zainab Samaan

Wael Abdelkader

Lisa Susan Wieland

Federico Germini

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