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A Health-Related Study from Food Online Reviews. The Case of Gluten-Free Foods

机译：食品在线评论的健康相关研究。 无麸质食物的情况

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摘要

Concerning the field of Health Sciences, one of the trends with the greatest impact today is related to the feeding and consumption of foods intended for chronic patients with a nutritional association. According to this, the gluten-free diet is one of the diets with a today's fastest-growing due to their health therapy associations for different diseases and because of more and more people are freely choosing to follow a gluten-free diet. On this subject, e-commerce platforms are destined to be a key point for the sale of this kind of products due to: (i) the change in the business model caused by the electronic platforms and (ii) the expected increase consumption of disease designed special foods. For this reason, the experiences written by chronic disease patients and consumers in these platforms have become increasingly relevant. In this sense, the present work applies biomedical text mining methods and demographic knowledge inference techniques to a large number of gluten-free foods consumer's experiences to discover a wide range of health-related topics associated to gluten-free products, alimentary social trends and demographics differences. The results of these analyses show significant trends over time; differences between males and females consumption and a wide range of health-related conclusions, such as: why consumers start a free gluten diet or what are the most discussed diseases and adverse reactions related to these products.
机译：关于健康科学领域，今天影响最大的趋势之一与营养协会患者为慢性患者的食物的喂养和消费有关。根据这一点，无麸质饮食是由于其健康治疗疗法对不同疾病的疗效增长的饮食之一，因为越来越多的人自由选择遵循无麸质饮食。在这个主题上，由于：（i）电子平台和（ii）造成的业务模式的变化，电子商务平台注定是出售这种产品的关键点设计的特殊食物。因此，这些平台慢性病患者和消费者所写的经验日益相关。从这个意义上讲，本作本作将生物医学文本挖掘方法和人口知识推理技术应用于大量无麸质食品消费者的经验，发现与无麸质产品，消化社会趋势和人口统计学相关的广泛的健康相关主题差异。这些分析结果随着时间的推移显示出显着的趋势;男性和女性消费的差异以及广泛的健康相关结论，例如：为什么消费者开始免费麸质饮食或者最讨论的疾病和与这些产品相关的不良反应是什么。

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