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
{"title":"Linguistic-grammar profile of Polish patients with anorexia nervosa","authors":"Stella Maćkowska ,&nbsp;Katarzyna Rojewska ,&nbsp;Dominik Spinczyk","doi":"10.1016/j.cmpb.2025.108717","DOIUrl":null,"url":null,"abstract":"<div><h3>Background and objective</h3><div>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.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusion</h3><div>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.</div></div>","PeriodicalId":10624,"journal":{"name":"Computer methods and programs in biomedicine","volume":"264 ","pages":"Article 108717"},"PeriodicalIF":4.9000,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer methods and programs in biomedicine","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0169260725001348","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
Computer methods and programs in biomedicine
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.
期刊最新文献
Automated neuroradiological support systems for multiple cerebrovascular disease markers — A systematic review and meta-analysis The impact of training image quality with a novel protocol on artificial intelligence-based LGE-MRI image segmentation for potential atrial fibrillation management Linguistic-grammar profile of Polish patients with anorexia nervosa A study on brain tumor dynamics in two-dimensional irregular domain with variable-order time-fractional derivative Physiological modeling of autonomic regulation of cardiac system under graded exercise
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1