{"title":"Software application for predicting the efficacy of rehabilitation treatment in patients with discirculatory encephalopathy","authors":"E. V. Moroz, O. V. Perelomova, V. V. Knyshоva","doi":"10.34215/1609-1175-2023-4-86-88","DOIUrl":null,"url":null,"abstract":"Aim. To develop a software application for determining the rehabilitation potential and predicting the efficacy of rehabilitation treatment in elderly and senile patients with stage III discirculatory encephalopathy (DE).Methods. A database of 185 patients with stage III DE was used. The indicators were assessed in dynamics, i.e., prior to the rehabilitation treatment and following three and six months from the onset of treatment course. The software application was developed using the Visual Basic for Applications (VBA) programming language built into Microsoft Excel 2010.Results. The developed application comprises several first-order subroutines to assess the patient’s neurological status, memory, attention, functional activity in everyday life, as well as second-order subroutines to calculate the rehabilitation potential and predict the treatment efficacy. At the first stage, personal data and characteristics of neurological disorders, cognitive functions, scale of instrumental activities in daily living (IADL) are entered. At the second stage, the indicator of rehabilitation potential is automatically calculated and its qualitative assessment is provided. On the basis of prediction of the efficacy of the three complexes, further rehabilitation tactics for a particular patient is determined.Conclusions. The developed software application is useful for automating and optimizing the work of rehabilitation neurologists.","PeriodicalId":19705,"journal":{"name":"Pacific Medical Journal","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pacific Medical Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34215/1609-1175-2023-4-86-88","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Aim. To develop a software application for determining the rehabilitation potential and predicting the efficacy of rehabilitation treatment in elderly and senile patients with stage III discirculatory encephalopathy (DE).Methods. A database of 185 patients with stage III DE was used. The indicators were assessed in dynamics, i.e., prior to the rehabilitation treatment and following three and six months from the onset of treatment course. The software application was developed using the Visual Basic for Applications (VBA) programming language built into Microsoft Excel 2010.Results. The developed application comprises several first-order subroutines to assess the patient’s neurological status, memory, attention, functional activity in everyday life, as well as second-order subroutines to calculate the rehabilitation potential and predict the treatment efficacy. At the first stage, personal data and characteristics of neurological disorders, cognitive functions, scale of instrumental activities in daily living (IADL) are entered. At the second stage, the indicator of rehabilitation potential is automatically calculated and its qualitative assessment is provided. On the basis of prediction of the efficacy of the three complexes, further rehabilitation tactics for a particular patient is determined.Conclusions. The developed software application is useful for automating and optimizing the work of rehabilitation neurologists.
目的开发一款应用软件,用于确定老年盘状脑病(DE)III期患者的康复潜力和预测康复治疗的疗效。方法:使用一个包含 185 名 III 期盘状脑病患者的数据库。对各项指标进行动态评估,即康复治疗前以及治疗开始后的三个月和六个月。应用软件是使用 Microsoft Excel 2010 中内置的 Visual Basic for Applications(VBA)编程语言开发的。所开发的应用程序包括几个一阶子程序,用于评估患者的神经状态、记忆力、注意力、日常生活中的功能活动,以及用于计算康复潜力和预测治疗效果的二阶子程序。在第一阶段,输入个人数据和神经系统疾病特征、认知功能、日常生活工具活动(IADL)量表。在第二阶段,将自动计算康复潜力指标并对其进行定性评估。在预测三种复合方法的有效性的基础上,确定特定患者的进一步康复策略。所开发的软件应用程序有助于自动化和优化康复神经科医生的工作。