Medical & Biological Engineering & Computing ( IF 2.6 ) Pub Date : 2024-03-13 , DOI: 10.1007/s11517-024-03058-3 Samah A Z Hassan 1
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The primary purpose of this paper is to establish a healthcare ecosystem framework for COVID-19, CronaSona. Unlike some studies that focus solely on detection or forecasting, CronaSona aims to provide a holistic solution, for managing data and/or knowledge, incorporating detection, forecasting, expert advice, treatment recommendations, real-time tracking, and finally visualizing results. The innovation lies in creating a comprehensive healthcare ecosystem framework and an application that not only aids in COVID-19 diagnosis but also addresses broader health challenges. The main objective is to introduce a novel framework designed to simplify the development and construction of applications by standardizing essential components required for applications focused on addressing diseases. CronaSona includes two parts, which are stakeholders and shared components, and four subsystems: (1) the management information subsystem, (2) the expert subsystem, (3) the COVID-19 detection and forecasting subsystem, and (4) the mobile tracker subsystem. In the proposed framework, a CronaSona app. was built to try to put the virus under control. It is a reactive mobile application for all users, especially COVID-19 patients and doctors. It aims to provide a reliable diagnostic tool for COVID-19 using deep learning techniques, accelerating diagnosis and referral processes, and focuses on forecasting the transmission of COVID-19. It also includes a mobile tracker subsystem for monitoring potential carriers and minimizing the virus spread. It was built to compete with other applications and to help people face the COVID-19 virus. Upon receiving the proposed framework, an application was developed to validate and test the framework’s functionalities. The main aim of the developed application, CronaSona app., is to develop and test a reliable diagnostic tool using deep learning techniques to avoid increasing the spread of the disease as much as possible and to accelerate the diagnosis and referral of patients by detecting COVID-19 features from their chest X-ray images. By using CronaSona, human health is saved and stress is reduced by knowing everything about the virus. It performs with the highest accuracy, F1-score, and precision, with consecutive values of 97%, 97.6%, and 96.6%.
Graphical Abstract
中文翻译：
使用 CronaSona 进行 Covid-19 检测和预测的人工智能医疗保健生态系统框架
本文的主要目的是建立一个针对 COVID-19 的医疗保健生态系统框架 CronaSona。与一些仅关注检测或预测的研究不同，CronaSona 旨在提供一个整体解决方案，用于管理数据和/或知识，整合检测、预测、专家建议、治疗建议、实时跟踪，并最终可视化结果。创新之处在于创建一个全面的医疗保健生态系统框架和一个应用程序，不仅有助于 COVID-19 诊断，还可以解决更广泛的健康挑战。主要目标是引入一种新颖的框架，旨在通过标准化专注于解决疾病的应用程序所需的基本组件来简化应用程序的开发和构建。 CronaSona 包括利益相关者和共享组件两部分以及四个子系统：(1) 管理信息子系统、(2) 专家子系统、(3) COVID-19 检测和预测子系统、(4) 移动跟踪器子系统。在提议的框架中，有一个 CronaSona 应用程序。是为了试图控制病毒而建立的。它是一款适合所有用户（尤其是 COVID-19 患者和医生）的反应式移动应用程序。它旨在利用深度学习技术为 COVID-19 提供可靠的诊断工具，加速诊断和转诊流程，并专注于预测 COVID-19 的传播。它还包括一个移动跟踪子系统，用于监控潜在携带者并最大限度地减少病毒传播。它的构建是为了与其他应用程序竞争并帮助人们应对 COVID-19 病毒。收到建议的框架后，开发了一个应用程序来验证和测试框架的功能。 所开发的应用程序 CronaSona 应用程序的主要目的是使用深度学习技术开发和测试可靠的诊断工具，以尽可能避免增加疾病的传播，并通过检测新冠肺炎加速患者的诊断和转诊。胸部 X 光图像中的 19 个特征。通过使用 CronaSona，了解有关病毒的一切，可以挽救人类健康并减轻压力。它具有最高的准确度、F1 分数和精确度，连续值为 97%、97.6% 和 96.6%。
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