TY -的AU -李,明达AU -史,金盟——陈,彝族PY - 2022 DA - 2022/8/31 TI -识别影响病人决策过程中在线健康社区:数据科学方法乔- J地中海互联网Res SP - e30634六世- 24 KW - 8 KW影响关系-决策线程KW -在线健康社区KW -病人接触KW -深度学习KW -文本相关性度量AB -背景:近年来，越来越多的用户加入在线卫生社区(OHCs)以获取信息和寻求支持。患者经常寻找信息和建议，以支持他们的医疗保健决策。了解患者的决策过程和确定患者从OHCs接受的影响是很重要的。目的:我们旨在确定讨论线程中对寻求决策帮助的用户有影响的帖子。方法:提出讨论区帖子影响关系的定义。然后，我们开发了一个框架和一个深度学习模型来识别影响关系。我们利用最先进的文本相关性度量方法来生成稀疏特征向量来表示文本相关性。我们将帖子中出现问题和动作的概率建模为密集特征。然后，我们使用深度学习技术结合稀疏和密集特征来学习影响关系。 Results: We evaluated the proposed techniques on discussion threads from a popular cancer survivor OHC. The empirical evaluation demonstrated the effectiveness of our approach. Conclusions: It is feasible to identify influence relationships in OHCs. Using the proposed techniques, a significant number of discussions on an OHC were identified to have had influence. Such discussions are more likely to affect user decision-making processes and engage users’ participation in OHCs. Studies on those discussions can help improve information quality, user engagement, and user experience. SN - 1438-8871 UR - //www.mybigtv.com/2022/8/e30634 UR - https://doi.org/10.2196/30634 UR - http://www.ncbi.nlm.nih.gov/pubmed/36044266 DO - 10.2196/30634 ID - info:doi/10.2196/30634 ER -