Detection and Analysis of Drug Misuses. A Study Based on Social Media Messages
Detection and Analysis of Drug Misuses. A Study Based on Social Media Messages
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DOI：
10.3389/fphar.2018.00791
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发表时间：
2018-07-26
影响因子：
5.6
通讯作者：
Thiessard, Frantz
中科院分区：
文献类型：
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作者：
Bigeard, Elise;Grabar, Natalia;Thiessard, Frantz
当患者不遵守处方并采取导致潜在有害情况的行动时，可能会发生药物滥用，例如摄入不正确的剂量（过度使用或使用不足）或药物使用适应症与处方不同。虽然这种情况是危险的，但患者通常不会向医生报告药物滥用。因此，研究这些问题需要其他信息来源。我们认为，在线健康论坛可以提供这样的信息，并建议利用它们。我们工作的总体目的是通过分析法国社交媒体中用户生成的数据来自动检测和分类药物滥用。为此，我们提出了一个多步骤的方法，其主要步骤是：（1）用适合社交媒体写作的扩展词汇索引消息;（2）创建药物滥用类型学;（3）根据消息是否包含药物滥用自动分类。我们提出了在不同的步骤中获得的结果，并讨论它们。所提出的方法允许检测高达0.773 F-措施的误用。
Drug misuse may happen when patients do not follow the prescriptions and do actions which lead to potentially harmful situations, such as intakes of incorrect dosage (overuse or underuse) or drug use for indications different from those prescribed. Although such situations are dangerous, patients usually do not report the misuse of drugs to their physicians. Hence, other sources of information are necessary for studying these issues. We assume that online health fora can provide such information and propose to exploit them. The general purpose of our work is the automatic detection and classification of drug misuses by analysing user-generated data in French social media. To this end, we propose a multi-step method, the main steps of which are: (1) indexing of messages with extended vocabulary adapted to social media writing; (2) creation of typology of drug misuses; and (3) automatic classification of messages according to whether they contain drug misuses or not. We present the results obtained at different steps and discuss them. The proposed method permit to detect the misuses with up to 0.773 F-measure.