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PancreApp: An Innovative Approach to Computational Individualization of Nutritional Therapy in Chronic Gastrointestinal Disorders

机译:PANCREAPP:慢性胃肠障碍营养治疗营养治疗的个体化的一种创新方法

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Medical nutrition therapy has a pivotal role in the management of chronic gastrointestinal disorders, like chronic pancreatitis, inflammatory bowel diseases (Lesniowski-Crohn's disease and ulcerative colitis) or irritable bowel syndrome. The aim of this study is to develop, deploy and evaluate an interactive application for Windows and Android operating systems, which could serve as a digital diet diary and as an analysis and a prediction tool both for the patient and the doctor. The software is gathering details about patients' diet and associated fettle in order to estimate fettle change after future meals, specifically for an individual patient. In this paper we have described the process of idea development and application design, feasibility assessment using a phone survey, a preliminary evaluation on 6 healthy individuals and early results of a clinical trial, which is still an ongoing study. Results suggest that applied approximative approach (Shepard's method of 6-dimensional metric interpolation) has a potential to predict the fettle accurately; as shown in leave-one-out cross-validation (LOOCV).
机译:医疗营养治疗在慢性胃肠疾病的管理中具有关键作用,如慢性胰腺炎,炎症性肠病(Lesniowski-Crohn的疾病和溃疡性结肠炎)或肠易肠道综合征。本研究的目的是开发,部署和评估Windows和Android操作系统的互动应用,该应用程序可以作为数字饮食日记和患者和医生的分析和预测工具。该软件正在收集有关患者饮食和相关方面的详细信息,以便在未来的膳食后估算轮齿变化,专门针对个体患者。在本文中,我们描述了使用电话调查的理念开发和应用设计,可行性评估的过程,对6个健康个体的初步评估和临床试验的早期结果,仍然是一个正在进行的研究。结果表明,应用近似法(Shepard的6维度量插值方法)具有准确预测缝隙的潜力。如休假交叉验证(LOOCV)所示。

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