Linguistic-grammar profile of Polish patients with anorexia nervosa

IF 4.9 2区医学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer methods and programs in biomedicine Pub Date : 2025-03-13 DOI:10.1016/j.cmpb.2025.108717

Stella Maćkowska , Katarzyna Rojewska , Dominik Spinczyk

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引用次数: 0

Abstract

Background and objective

The process of diagnosing and treating anorexia is fraught with many challenges. Physiologically unstable patient status in the first period of treatment, the barrier between patient-therapist, and patient's resistance constitute an essential negative element in accurate diagnosis and appropriate therapy selection. For this reason, there was a need to create a tool using elements of natural language processing to support the psychologist's work in the diagnostic process to verify and validate the expert hypotheses.

Methods

The research proposed that linguistic-grammatical profiles be created among the research and control groups using elements of natural language processing. After the general part of speech tagging, the rules for detailed analysis were developed for adjectives, verbs (including the verb “to be”), pronoun “I” and the possessive pronoun “my”, cognitive words and characteristic terms related to body image. The choice of rules was dictated by the state of art and literature review. The obtained results were subjected to statistical analysis.

Results

A detailed analysis showed a strong negative sentiment associated with body image among patients with anorexia. In the control group, the same analysis revealed opposite results. In this group, people are aware of their physical imperfections, but it does not distort their body image. Statistically significant differences were observed in all concept categories except for the noun group. Statistical analysis was not conducted for the following concept classes: personal pronoun “I”, verb “to be” in the past form, verb “to be” in the future form, and general verbs in past form due to the insufficient number of occurrences of these concepts in the written notes.

Conclusion

The adopted NLP methods and the tools used in the designed projective method may be helpful in the psychological diagnosis of anorexia, due to the demonstrated differentiation between healthy and people with anorexia, providing detailed information about the patient and its required minimally invasive character.

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波兰神经性厌食症患者的语言语法特征

背景与目的厌食症的诊断和治疗过程充满了许多挑战。患者在治疗初期的生理状态不稳定，患者-治疗师之间的障碍以及患者的抵抗是准确诊断和适当选择治疗的重要负面因素。出于这个原因，有必要创建一个使用自然语言处理元素的工具来支持心理学家在诊断过程中的工作，以验证和验证专家的假设。方法采用自然语言处理的方法，在实验组和对照组之间建立语言语法特征。在一般词性标注之后，对形容词、动词（包括“to be”）、代词“I”和所有格代词“my”、与身体形象相关的认知词和特征词等进行了详细的分析。规则的选择取决于艺术状况和文献综述。所得结果进行了统计分析。结果详细分析显示，厌食症患者对身体形象有较强的负面情绪。在对照组中，同样的分析显示出相反的结果。在这个群体中，人们意识到自己身体的缺陷，但这并不会扭曲他们的身体形象。除名词组外，所有概念类别的差异均有统计学意义。由于在书面笔记中出现次数不足，对人称代词“I”、动词“to be”的过去式、动词“to be”的将来式和一般动词的过去式等概念类没有进行统计分析。结论所采用的NLP方法和所设计的投射法所使用的工具有助于厌食症的心理诊断，因为健康者和厌食症患者之间存在明显的差异，可以提供患者的详细信息及其所需的微创特征。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computer methods and programs in biomedicine 工程技术-工程：生物医学

CiteScore

12.30

自引率

6.60%

发文量

601

审稿时长

135 days

期刊介绍： To encourage the development of formal computing methods, and their application in biomedical research and medical practice, by illustration of fundamental principles in biomedical informatics research; to stimulate basic research into application software design; to report the state of research of biomedical information processing projects; to report new computer methodologies applied in biomedical areas; the eventual distribution of demonstrable software to avoid duplication of effort; to provide a forum for discussion and improvement of existing software; to optimize contact between national organizations and regional user groups by promoting an international exchange of information on formal methods, standards and software in biomedicine. Computer Methods and Programs in Biomedicine covers computing methodology and software systems derived from computing science for implementation in all aspects of biomedical research and medical practice. It is designed to serve: biochemists; biologists; geneticists; immunologists; neuroscientists; pharmacologists; toxicologists; clinicians; epidemiologists; psychiatrists; psychologists; cardiologists; chemists; (radio)physicists; computer scientists; programmers and systems analysts; biomedical, clinical, electrical and other engineers; teachers of medical informatics and users of educational software.