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Identifying Medications that Patients Stopped Taking in Online Health Forums

机译:鉴定患者停止服用在线健康论坛的药物

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Patients may stop taking medications after a certain point for various reasons, such as severe side effects, prohibitive costs, or ineffective treatments. Being able to analyze the reason patients stop taking medications is very important to medical practitioners, for example, who can come up with new treatment plans, prescribe different medication if there are side effects. In this paper, we focus on online health forums and define the problem as a binary classification task (i.e., if a patient has stopped taking a medication or not). We chose to focus on health forums here since these are the platforms usually patients go to ask for support online. We propose linguistics features of various complexity and present an in-depth analysis of the results which give us new insights into the task at hand.
机译:由于各种原因,患者可能会在某种点后停止服用药物,例如严重的副作用,令人缺乏成本或无效治疗。能够分析患者停止服用药物对医生非常重要的原因,例如,谁可以提出新的治疗计划,如果存在副作用,则规定不同的药物。在本文中,我们专注于在线健康论坛并将问题定义为二进制分类任务(即,如果患者已停止服用药物)。我们选择专注于这里的健康论坛,因为这些是平台通常会去在网上寻求支持。我们提出了各种复杂性的语言学特征,并对这一结果进行了深入的分析,使我们新见解在手头的任务中。

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