基于双重诊断措施的普适计算检测nCOVID-19的实用方法

Swarnava Biswas, Chandranath Chakraborty, Riddhi Chawla, D. Paul, Debajit Sen, Niloy Sarkar, M. Mukherjee
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引用次数: 1

摘要

新冠肺炎扰乱了我们的正常生活方式,我们不得不接受新常态下的程序。据设想,标准诊断技术将在整个手术过程中不断发展。为了帮助这种类型的诊断技术,我们的研究小组正在开发一种工具。在这篇文章中,该小组讨论了使用两种诊断指标的重要性,这两种指标已被证明在医生的许多诊断中至关重要,以及如何利用它们。基于自然语言处理的症状测量和考虑医学生命体征的基于机器学习的策略相结合,可以帮助将检测的错误率降至50%。这项研究中提出的技术是同类技术中的第一种,作者获得的结果在准确性方面令人满意。提出这种策略的另一个理由是融合算法可能从执行相同任务的两个并发算法中得出正确结果的方式。该小组的另一个目标是以这种建筑设计的形式给医生一个有价值的意见。建议的设计可以在任何护理设施点使用,而不需要任何额外的基础设施或升级现有设施来适应建议的架构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Pragmatic Approach for Detecting nCOVID-19 using Pervasive Computing Based on Dual Diagnostic Measures
Our regular way of life has been disrupted by the COVID-19, and we have been obliged to accept the procedures that are in place under the new normal regime. It is envisaged that the standard diagnostic technique will evolve throughout the course of the procedure. As a help to this type of diagnostic technique, our research group is developing a tool. In this article, the group discusses the importance of employing two diagnostic metrics that have proven to be pivotal in many diagnoses for doctors, and how they might be used to their advantage. Together, natural language processing-based symptoms measures and a machine learning-based strategy that takes into account medical vitals can help to minimise the error percentage of detection by as much as 50%. The technique suggested in this study is the first of its type, and the authors have obtained findings that are satisfactory in terms of accuracy. A further justification for suggesting such a strategy is the manner in which a fusion algorithm might arrive at the correct results from two concurrent algorithms performing the same task. One of the group's other objectives was to give the doctor a valuable opinion in the form of such an architectural design. The suggested design may be employed at any point of care facility without the need for any additional infrastructure or escalation of the current amenities to accommodate the proposed architecture.
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