AIMC Topic: Attitude to Health
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Optimization on machine learning based approaches for sentiment analysis on HPV vaccines related tweets.
Journal of biomedical semantics
Mar 3, 2017
BACKGROUND: Analysing public opinions on HPV vaccines on social media using machine learning based approaches will help us understand the reasons behind the low vaccine coverage and come up with corresponding strategies to improve vaccine uptake.
Development of Personalized Health Messages to Promote Engagement in Advance Care Planning.
Journal of the American Geriatrics Society
Jan 25, 2016
OBJECTIVES: To develop and test the acceptability of personalized intervention materials to promote advance care planning (ACP) based on the Transtheoretical Model (TTM), in which readiness to change is a critical organizing construct.
Assessing Electronic Cigarette-Related Tweets for Sentiment and Content Using Supervised Machine Learning.
Journal of medical Internet research
Aug 25, 2015
BACKGROUND: Electronic cigarettes (e-cigarettes) continue to be a growing topic among social media users, especially on Twitter. The ability to analyze conversations about e-cigarettes in real-time can provide important insight into trends in the pub...
Just another tool in their repertoire: uncovering insights into public and patient perspectives on clinicians' use of machine learning in perioperative care.
Journal of the American Medical Informatics Association : JAMIA
Jan 1, 2025
OBJECTIVES: Successful implementation of machine learning-augmented clinical decision support systems (ML-CDSS) in perioperative care requires the prioritization of patient-centric approaches to ensure alignment with societal expectations. We assesse...
Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review.
The Lancet. Digital health
Sep 1, 2021
Artificial intelligence (AI) promises to change health care, with some studies showing proof of concept of a provider-level performance in various medical specialties. However, there are many barriers to implementing AI, including patient acceptance ...
Why do people oppose mask wearing? A comprehensive analysis of U.S. tweets during the COVID-19 pandemic.
Journal of the American Medical Informatics Association : JAMIA
Jul 14, 2021
OBJECTIVE: Facial masks are an essential personal protective measure to fight the COVID-19 (coronavirus disease) pandemic. However, the mask adoption rate in the United States is still less than optimal. This study aims to understand the beliefs held...
Developing a standardized protocol for computational sentiment analysis research using health-related social media data.
Journal of the American Medical Informatics Association : JAMIA
Jun 12, 2021
OBJECTIVE: Sentiment analysis is a popular tool for analyzing health-related social media content. However, existing studies exhibit numerous methodological issues and inconsistencies with respect to research design and results reporting, which could...
Trust and medical AI: the challenges we face and the expertise needed to overcome them.
Journal of the American Medical Informatics Association : JAMIA
Mar 18, 2021
Artificial intelligence (AI) is increasingly of tremendous interest in the medical field. How-ever, failures of medical AI could have serious consequences for both clinical outcomes and the patient experience. These consequences could erode public tr...
Exploring the Influential Factors of Consumers' Willingness Toward Using COVID-19 Related Chatbots: An Empirical Study.
Medical archives (Sarajevo, Bosnia and Herzegovina)
Feb 1, 2021
BACKGROUND: Consumers' willingness to use health chatbots can eventually determine if the adoption of health chatbots will succeed in delivering healthcare services for combating COVID-19. However, little research to date has empirically explored inf...
'I'm over the moon!': patient-perceived outcomes of hepatitis C treatment.
Australian journal of primary health
Aug 1, 2020
Understanding patient-perceived outcomes is crucial for assessing the effectiveness and acceptability of hepatitis C virus (HCV) treatment. This study aimed to explore patient-perceived outcomes of receiving direct-acting antivirals (DAAs). This stud...
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