Attitudes of Crohn's Disease Patients: Infodemiology Case Study and Sentiment Analysis of Facebook and Twitter Posts.
Attitudes of Crohn's Disease Patients: Infodemiology Case Study and Sentiment Analysis of Facebook and Twitter Posts.
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克罗恩病患者的态度：Facebook和Twitter帖子的案例研究和情感分析。
DOI：
10.2196/publichealth.7004
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发表时间：
2017-08-09
影响因子：
8.5
通讯作者：
Montagnani M
中科院分区：
文献类型：
--
作者：
Roccetti M;Marfia G;Salomoni P;Prandi C;Zagari RM;Gningaye Kengni FL;Bazzoli F;Montagnani M
关于患者的数据来自社交媒体上的各种来源。本研究的目的是展示如何从不同领域借用的方法，包括计算机科学，计量经济学，统计学，数据挖掘和社会学，可以用来分析Facebook的数据，调查病人的观点对给定的医疗处方。为了阐明患者的行为和担忧，我们专注于克罗恩病，一种慢性炎症性肠病，以及生物药物英夫利昔单抗的特异性治疗。为了从大数据中获得信息，我们分析了2011年10月至2015年8月期间的Facebook帖子。我们选择了来自克罗恩病患者的帖子，这些患者正在经历或以前接受过单克隆抗体药物英夫利昔单抗治疗。对选定的帖子进行了进一步的定性和情感分析。最后，来自不同科学研究领域（例如，计算机科学与胃肠病学）的专家和运行情感分析工具的软件系统进行了人种学审查。将患者对英夫利西单抗治疗的感觉分类为阳性、中性或阴性，并使用平方加权科恩kappa系数法比较计算机科学、胃肠病学家和软件工具的结果。第一个自动选择过程返回了56，000个Facebook帖子，其中261个展示了患者对英夫利昔单抗的意见。对这261个选定职位的人种学分析得出了类似的结果，计算机科学和胃肠病学专家之间的评价者间一致性达到87.3%（228/261），根据平方加权科恩kappa系数法（w2K = 0.6470），这是一个实质性的一致性。积极、中立和消极的感觉分别归因于36%、27%和37%的计算机科学专家和38%、30%和32%的胃肠病学家的帖子。专家的意见和软件工具之间只有轻微的一致性。我们展示了克罗恩病患者在Facebook上发布的数据如何成为了解患者对英夫利昔单抗特定治疗的观点的有用数据集。来自不同研究背景的专家可以很容易地审查从Facebook页面获得的真实的、不受医学影响的患者意见，并就患者情绪的分类达成实质性一致。所描述的方法允许快速收集大量数据，这些数据可以很容易地进行分析，以深入了解患者对特定医学治疗的看法。
Data concerning patients originates from a variety of sources on social media. The aim of this study was to show how methodologies borrowed from different areas including computer science, econometrics, statistics, data mining, and sociology may be used to analyze Facebook data to investigate the patients’ perspectives on a given medical prescription. To shed light on patients’ behavior and concerns, we focused on Crohn’s disease, a chronic inflammatory bowel disease, and the specific therapy with the biological drug Infliximab. To gain information from the basin of big data, we analyzed Facebook posts in the time frame from October 2011 to August 2015. We selected posts from patients affected by Crohn’s disease who were experiencing or had previously been treated with the monoclonal antibody drug Infliximab. The selected posts underwent further characterization and sentiment analysis. Finally, an ethnographic review was carried out by experts from different scientific research fields (eg, computer science vs gastroenterology) and by a software system running a sentiment analysis tool. The patient feeling toward the Infliximab treatment was classified as positive, neutral, or negative, and the results from computer science, gastroenterologist, and software tool were compared using the square weighted Cohen’s kappa coefficient method. The first automatic selection process returned 56,000 Facebook posts, 261 of which exhibited a patient opinion concerning Infliximab. The ethnographic analysis of these 261 selected posts gave similar results, with an interrater agreement between the computer science and gastroenterology experts amounting to 87.3% (228/261), a substantial agreement according to the square weighted Cohen’s kappa coefficient method (w2K=0.6470). A positive, neutral, and negative feeling was attributed to 36%, 27%, and 37% of posts by the computer science expert and 38%, 30%, and 32% by the gastroenterologist, respectively. Only a slight agreement was found between the experts’ opinion and the software tool. We show how data posted on Facebook by Crohn’s disease patients are a useful dataset to understand the patient’s perspective on the specific treatment with Infliximab. The genuine, nonmedically influenced patients’ opinion obtained from Facebook pages can be easily reviewed by experts from different research backgrounds, with a substantial agreement on the classification of patients’ sentiment. The described method allows a fast collection of big amounts of data, which can be easily analyzed to gain insight into the patients’ perspective on a specific medical therapy.