研究综述:利用计算技术识别和分类肾脏疾病

Mynapati Lakshmi Prasudha, Rakesh Kasumolla, D. Sukheja
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引用次数: 0

摘要

在过去的十年中,人工智能/机器学习/深度学习被认为是医疗保健领域的核心研究领域,因为我们已经知道肾脏是重要的体内器官之一,有助于调节体内的液体,去除不需要的废物。此外,通过正常的临床过程更难以早期发现。由于肾脏患者的死亡率非常高,许多研究人员将工作重点放在了利用计算机技术识别肾脏疾病或对肾脏疾病进行分类上。本文主要回顾了目前肾脏疾病领域基于计算进展的研究工作,并指出了早期识别和预测肾脏疾病的差距或未来的范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research Reviews: Towards Identification and Classification Kidney Disease using Computational Technology
It has been seen that in the last one decade, AI/ML/DL has been considered a core research area in healthcare as it is already known that kidney is one among the important internal body organs that helps in regulation of fluid within the body to remove the unwanted waste materials. Furthermore, it becomes more difficult to detect early on by normal clinical process. Many researchers have focused their work to identify the kidney disease or classify the kidney disease using computational technology because of the mortality rate is very high in kidney patients. Primary focus of this paper is reviewing the current research work based on computational advancement in the area of kidney disease and also identify the gaps or future scope to identify and predict the kidney disease at earlier stage.
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