关键词: Combat stress disorder Digital health Discrete and non-smooth optimization Hybrid e-rehabilitation Oncology Subgradient algorithms Telerehabilitation Transdisciplinarity Transdisciplinary research Ukraine

来  源:   DOI:10.5195/ijt.2023.6562   PDF(Pubmed)

Abstract:
This Letter to the Editor provides an update on the research from the Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine. The Institute\'s research team in collaboration with Ternopil National Medical University began a new project called \"Development of the cloud-based platform for patient-centered telerehabilitation of oncology patients with mathematical-related modeling.\" The project is dedicated to the development of a hybrid cloud-based platform, and the creation on its basis of information technology for the telemedicine rehabilitation of cancer patients, and adapted for patients with combat stress disorder. The distinctive features of the proposed technology are a combination of artificial intelligence methods with accurate mathematical methods for optimization: developing mathematical models of problems of discrete, and non-smooth optimization, subgradient space transformation algorithms (to minimize non-smooth functions with tens of thousands of variables), and a method of global equilibrium search, etc.
摘要:
这封信给编辑提供了乌克兰国家科学院Glushkov控制论研究所的最新研究。该研究所的研究团队与捷尔诺波尔国立医科大学合作,开始了一个名为“开发基于云的平台,以患者为中心,通过数学相关建模为肿瘤患者的远程康复治疗。“该项目致力于开发基于混合云的平台,并在其基础上创建了用于癌症患者远程医疗康复的信息技术,并适应患有对抗应激障碍的患者。所提出的技术的显着特征是人工智能方法与精确的优化数学方法的结合:开发离散问题的数学模型,和非平滑优化,次梯度空间变换算法(最小化具有成千上万个变量的非平滑函数),和一种全球均衡搜索的方法,等。
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