利用基于健康信念模型的深度学习,从 COVID-19 大流行之前和期间的社交媒体中了解公众对乳腺癌筛查的健康信念。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2024-01-11 eCollection Date: 2023-01-01
Michelle Bak, Chieh-Li Chin, Jessie Chin
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引用次数: 0

摘要

乳腺癌是美国妇女癌症死亡的第二大原因。虽然参加乳腺癌筛查是早期发现的最有效方法,但筛查率一直很低。鉴于理解健康观念对于理解健康决策至关重要,我们的研究利用基于健康信念模型的深度学习方法来预测和研究公众对乳腺癌及其筛查行为的健康信念。结果表明,公众健康观念的变化趋势对政治(即卫生政策的变化)、社会学(即公众人物或组织对疾病及其预防保健的表述)、心理学(即社会支持)和环境因素(即 COVID-19 大流行)非常敏感。我们的研究探讨了社交媒体在公共卫生监测和公共卫生促进预防保健方面可以发挥的作用。
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Use of Health Belief Model-based Deep Learning to Understand Public Health Beliefs in Breast Cancer Screening from Social Media before and during the COVID-19 Pandemic.

Breast cancer is the second leading cause of cancer death for women in the United States. While breast cancer screening participation is the most effective method for early detection, screening rate has remained low. Given that understanding health perception is critical to understand health decisions, our study utilized the Health Belief Model-based deep learning method to predict and examine public health beliefs in breast cancer and its screening behavior. The results showed that the trends in public health perception are sensitive to political (i.e., changes in health policy), sociological (i.e., representation of disease and its preventive care by public figure or organization), psychological (i.e., social support), and environmental factors (i.e., COVID-19 pandemic). Our study explores the roles social media can play in public health surveillance and in public health promotion of preventive care.

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