Contemporary attitudes and beliefs on coronary artery calcium from social media using artificial intelligence.
Sulaiman SomaniSujana BallaAllison W PengRamzi DudumSneha JainKhurram NasirDavid J MaronTina Hernandez BoussardFatima RodriguezPublished in: NPJ digital medicine (2024)
Coronary artery calcium (CAC) is a powerful tool to refine atherosclerotic cardiovascular disease (ASCVD) risk assessment. Despite its growing interest, contemporary public attitudes around CAC are not well-described in literature and have important implications for shared decision-making around cardiovascular prevention. We used an artificial intelligence (AI) pipeline consisting of a semi-supervised natural language processing model and unsupervised machine learning techniques to analyze 5,606 CAC-related discussions on Reddit. A total of 91 discussion topics were identified and were classified into 14 overarching thematic groups. These included the strong impact of CAC on therapeutic decision-making, ongoing non-evidence-based use of CAC testing, and the patient perceived downsides of CAC testing (e.g., radiation risk). Sentiment analysis also revealed that most discussions had a neutral (49.5%) or negative (48.4%) sentiment. The results of this study demonstrate the potential of an AI-based approach to analyze large, publicly available social media data to generate insights into public perceptions about CAC, which may help guide strategies to improve shared decision-making around ASCVD management and public health interventions.
Keyphrases
- artificial intelligence
- social media
- machine learning
- big data
- coronary artery
- health information
- deep learning
- public health
- mental health
- cardiovascular disease
- risk assessment
- healthcare
- pulmonary artery
- decision making
- systematic review
- physical activity
- type diabetes
- human health
- autism spectrum disorder
- heavy metals
- depressive symptoms
- advance care planning
- radiation therapy
- primary care
- case report
- climate change
- electronic health record
- social support
- cardiovascular events
- radiation induced