{"title":"Medical domain knowledge-enhanced automatic decision support for traumatic brain injury: protein nutrition intervention for traumatic brain injury.","authors":"Rui Xu, Yulong Xia, Lidan Zhang, Weijun Xu, Jiaying Wen, Li Jiang","doi":"10.1080/13813455.2025.2600337","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Traumatic brain injury (TBI) is a common neurosurgical emergency with a high rate of disability and mortality. In the treatment of TBI, apart from timely and effective clinical intervention measures, reasonable nutritional support also plays a significant role, among which protein nutrition intervention has attracted particular attention.</p><p><strong>Purpose: </strong>This study aims to develop a clinical decision support system (CDSS), namely the T system, to automatically analyse the medical text data of TBI patients and output treatment plans, which also takes into account the importance of protein nutrition intervention.</p><p><strong>Method: </strong>Therefore, the T system developed in this study can automatically identify and analyse the medical text data of TBI patients, and quickly output accurate treatment plans including protein nutrition intervention.</p><p><strong>Conclusion: </strong>This system is expected to provide important decision support for clinicians, optimise the treatment process for TBI patients, improve treatment efficiency and enhance patient prognosis.</p>","PeriodicalId":8331,"journal":{"name":"Archives of Physiology and Biochemistry","volume":" ","pages":"1-13"},"PeriodicalIF":3.2000,"publicationDate":"2025-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of Physiology and Biochemistry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/13813455.2025.2600337","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Traumatic brain injury (TBI) is a common neurosurgical emergency with a high rate of disability and mortality. In the treatment of TBI, apart from timely and effective clinical intervention measures, reasonable nutritional support also plays a significant role, among which protein nutrition intervention has attracted particular attention.
Purpose: This study aims to develop a clinical decision support system (CDSS), namely the T system, to automatically analyse the medical text data of TBI patients and output treatment plans, which also takes into account the importance of protein nutrition intervention.
Method: Therefore, the T system developed in this study can automatically identify and analyse the medical text data of TBI patients, and quickly output accurate treatment plans including protein nutrition intervention.
Conclusion: This system is expected to provide important decision support for clinicians, optimise the treatment process for TBI patients, improve treatment efficiency and enhance patient prognosis.
期刊介绍:
Archives of Physiology and Biochemistry: The Journal of Metabolic Diseases is an international peer-reviewed journal which has been relaunched to meet the increasing demand for integrated publication on molecular, biochemical and cellular aspects of metabolic diseases, as well as clinical and therapeutic strategies for their treatment. It publishes full-length original articles, rapid papers, reviews and mini-reviews on selected topics. It is the overall goal of the journal to disseminate novel approaches to an improved understanding of major metabolic disorders.
The scope encompasses all topics related to the molecular and cellular pathophysiology of metabolic diseases like obesity, type 2 diabetes and the metabolic syndrome, and their associated complications.
Clinical studies are considered as an integral part of the Journal and should be related to one of the following topics:
-Dysregulation of hormone receptors and signal transduction
-Contribution of gene variants and gene regulatory processes
-Impairment of intermediary metabolism at the cellular level
-Secretion and metabolism of peptides and other factors that mediate cellular crosstalk
-Therapeutic strategies for managing metabolic diseases
Special issues dedicated to topics in the field will be published regularly.