Symmetrical treatment of "Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition", for major depressive disorders.

Q2 Decision Sciences Source Code for Biology and Medicine Pub Date : 2016-01-19 eCollection Date: 2016-01-01 DOI:10.1186/s13029-015-0041-7
Jitsuki Sawamura, Shigeru Morishita, Jun Ishigooka
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Abstract

Background: We previously presented a group theoretical model that describes psychiatric patient states or clinical data in a graded vector-like format based on modulo groups. Meanwhile, the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5, the current version), is frequently used for diagnosis in daily psychiatric treatments and biological research. The diagnostic criteria of DSM-5 contain simple binominal items relating to the presence or absence of specific symptoms. In spite of its simple form, the practical structure of the DSM-5 system is not sufficiently systemized for data to be treated in a more rationally sophisticated way. To view the disease states in terms of symmetry in the manner of abstract algebra is considered important for the future systematization of clinical medicine.

Results: We provide a simple idea for the practical treatment of the psychiatric diagnosis/score of DSM-5 using depressive symptoms in line with our previously proposed method. An expression is given employing modulo-2 and -7 arithmetic (in particular, additive group theory) for Criterion A of a 'major depressive episode' that must be met for the diagnosis of 'major depressive disorder' in DSM-5. For this purpose, the novel concept of an imaginary value 0 that can be recognized as an explicit 0 or implicit 0 was introduced to compose the model. The zeros allow the incorporation or deletion of an item between any other symptoms if they are ordered appropriately. Optionally, a vector-like expression can be used to rate/select only specific items when modifying the criterion/scale. Simple examples are illustrated concretely.

Conclusions: Further development of the proposed method for the criteria/scale of a disease is expected to raise the level of formalism of clinical medicine to that of other fields of natural science.

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根据《精神疾病诊断与统计手册第五版》对重度抑郁症进行对称治疗。
背景:我们曾介绍过一种群体理论模型,它以基于模数群体的分级矢量样格式描述精神病患者的状态或临床数据。与此同时,《精神疾病诊断与统计手册第五版》(DSM-5,当前版本)经常被用于日常精神治疗和生物学研究中的诊断。DSM-5 的诊断标准包含与是否存在特定症状有关的简单二项式项目。尽管形式简单,DSM-5 系统的实际结构却不够系统化,无法对数据进行更合理的精密处理。以抽象代数的方式从对称性的角度来看待疾病状态,被认为对未来临床医学的系统化非常重要:结果:我们根据之前提出的方法,为使用抑郁症状实际处理 DSM-5 精神病诊断/评分提供了一个简单的思路。我们利用模-2 和-7 运算(尤其是加法群理论)给出了 "重度抑郁发作 "标准 A 的表达式,该标准是诊断 DSM-5 中 "重度抑郁障碍 "所必须满足的条件。为此,我们引入了虚值 "0 "这一新颖概念来组成模型,虚值 "0 "可被识别为显性 "0 "或隐性 "0"。如果排序得当,"0 "允许在任何其他症状之间加入或删除一个项目。在修改标准/量表时,还可以选择使用类似于向量的表达式,只对特定项目进行评分/选择。我们将具体举例说明:建议的疾病标准/量表方法的进一步发展有望将临床医学的形式主义水平提高到其他自然科学领域的水平。
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来源期刊
Source Code for Biology and Medicine
Source Code for Biology and Medicine Decision Sciences-Information Systems and Management
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期刊介绍: Source Code for Biology and Medicine is a peer-reviewed open access, online journal that publishes articles on source code employed over a wide range of applications in biology and medicine. The journal"s aim is to publish source code for distribution and use in the public domain in order to advance biological and medical research. Through this dissemination, it may be possible to shorten the time required for solving certain computational problems for which there is limited source code availability or resources.
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