Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, Zabrze, Poland.
Clinical Hospital No. 1 in Zabrze, Department of Pediatrics, School of Medicine with the Division of Dentistry in Zabrze, Medical University of Silesia in Katowice, 15-18 3th Maja, 41-800, Zabrze, Poland.
Biomed Eng Online. 2018 Feb 2;17(1):19. doi: 10.1186/s12938-018-0451-2.
Diagnosing and treating anorexia nervosa is an important challenge for modern psychiatry. Taking into account a connection between the mental state of a person and the characteristics of their language, this paper presents developed and tested method for analyzing the written statements of patients with anorexia nervosa and healthy individuals, including the identification of keywords.
Due to the short nature of the texts, which is related to the difficulty of expressing oneself about one's body when suffering from anorexia, the bag of words approach was used for documents' information representation. The document is represented as a vector, where its various elements indicate the number of individual words. Then, a rule-based model was created, where as a collection of rules, dictionary files were used corresponding to three groups of positive, negative and neutral sounds for each subcategory. Next in the analyzed texts were searched and counted keywords. Based on the keywords found, each of the documents was categorized into one of the groups in every subcategory.
It is possible to indicate a set of characteristics sentiment for every person. Additionally, the results of specific patient could be analyzed in six specific subcategories: self-esteem, acceptance of the assessment of the environment, emotions, autoimmune, functioning of the body and body image.
The described analysis indicates the existence of a relationship between the mental state of the author's textual health and the vocabulary he or she uses. It is possible to indicate a set of characteristic sentiment terms specific to a given group of people. Their presence is related to the author's mental state and their body image. It could help focus on specific topics during therapy.
诊断和治疗神经性厌食症是现代精神病学的一个重要挑战。考虑到一个人的精神状态和其语言特征之间的联系，本文提出了一种经过开发和测试的分析神经性厌食症患者和健康个体书面陈述的方法，包括关键词的识别。
由于文本篇幅较短，这与患者在患有厌食症时表达自身身体状况的困难有关，因此本文采用词袋方法来表示文档的信息。文档表示为一个向量，其中各个元素表示单个单词的数量。然后，创建了一个基于规则的模型，其中字典文件作为规则集，对应于每个子类别中的三个正、负和中性声音组。然后，在分析的文本中搜索并统计关键词。根据找到的关键词，将每个文档归入每个子类别中的一个组中。
可以为每个人指示一组特定的情感特征。此外，可以在六个特定子类别中分析特定患者的结果：自尊、对环境评估的接受程度、情绪、自身免疫、身体功能和身体形象。
所描述的分析表明，作者的健康文本的精神状态与他或她使用的词汇之间存在关系。可以为特定人群指示一组特征情感术语。它们的存在与作者的精神状态和身体形象有关。这有助于在治疗中关注特定的主题。
