More Accurate Organ Recipient Identification Using Survey Informatics of New Age Technologies

Benita Jose Chalissery, V. Asha, B. M. Sundaram
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引用次数: 3

Abstract

Organ transplantation is a miraculous achievement for most of the end-stage diseases caused due to organ failure. Providing the organ to the most accurate recipient is always a challenge. The survival prediction of the recipient based on various health and environmental/infrastructural data (e.g.: live traffic) is not considered in the current selection algorithms, thus reducing the healthy lifespan of the recipient. The objective of this research is to do an in-depth analysis of the historical transplantation data for the organ (kidney) and figure out statistical evidence of various parameters which are affecting the survival time of the organ recipient. Both univariant and covariant analysis (impact in conjunction with other varying parameters) of these data parameters are studied. The result of this study was further analyzed to identify such parameters which vary frequently with time but also impact the predicted survival curve of the recipient. The research focuses on the benefit of new-age technology such as IoT in accurately predicting the most suitable recipient with a longer survival curve. The research ultimately wants to bring out an efficient recipient identification mechanism for organ procurement and transplantation
利用新时代调查信息技术更准确地识别器官受者
对于大多数因器官衰竭引起的终末期疾病来说,器官移植是一项奇迹般的成就。将器官提供给最准确的接受者一直是一个挑战。目前的选择算法没有考虑基于各种健康和环境/基础设施数据(例如:实时交通)的接受者的生存预测,从而缩短了接受者的健康寿命。本研究的目的是对器官(肾脏)的历史移植数据进行深入分析,找出影响器官受体生存时间的各种参数的统计证据。研究了这些数据参数的单变分析和协变分析(与其他变化参数结合的影响)。我们进一步分析了这项研究的结果,以确定这些参数经常随时间变化,但也会影响接受者的预测生存曲线。研究的重点是物联网等新时代技术在准确预测生存曲线较长的最合适接受者方面的优势。这项研究的最终目的是为器官获取和移植提供一种有效的受体识别机制
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