Experimental Technologies in the Diagnosis and Treatment of COVID-19 in Patients with Comorbidities.

IF 5.9 Q1 Computer Science
Md Shahnoor Amin, Marcin Wozniak, Lidija Barbaric, Shanel Pickard, Rahul S Yerrabelli, Anton Christensen, Olivia C Coiado
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引用次数: 1

Abstract

The COVID-19 pandemic has impacted the whole world and raised concerns about its effects on different human organ systems. Early detection of COVID-19 may significantly increase the rate of survival; thus, it is critical that the disease is detected early. Emerging technologies have been used to prevent, diagnose, and manage COVID-19 among the populace in the USA and globally. Numerous studies have revealed the growing implementation of novel engineered systems during the intervention at various points of the disease's pathogenesis, especially as it relates to comorbidities and complications related to cardiovascular and respiratory organ systems. In this review, we provide a succinct, but extensive, review of the pathogenesis of COVID-19, particularly as it relates to angiotensin-converting enzyme 2 (ACE2) as a viral entry point. This is followed by a comprehensive analysis of cardiovascular and respiratory comorbidities of COVID-19 and novel technologies that are used to diagnose and manage hospitalized patients. Continuous cardiorespiratory monitoring systems, novel machine learning algorithms for rapidly triaging patients, various imaging modalities, wearable immunosensors, hotspot tracking systems, and other emerging technologies are reviewed. COVID-19 effects on the immune system, associated inflammatory biomarkers, and innovative therapies are also assessed. Finally, with emphasis on the impact of wearable and non-wearable systems, this review highlights future technologies that could help diagnose, monitor, and mitigate disease progression. Technologies that account for an individual's health conditions, comorbidities, and even socioeconomic factors can drastically reduce the high mortality seen among many COVID-19 patients, primarily via disease prevention, early detection, and pertinent management.

Abstract Image

新冠肺炎合并症患者诊治实验技术研究
COVID-19大流行影响全球,并引起人们对其对人体不同器官系统影响的担忧。早期发现COVID-19可显著提高生存率;因此,及早发现这种疾病至关重要。新兴技术已被用于在美国和全球民众中预防、诊断和管理COVID-19。大量研究表明,在疾病发病机制的各个阶段,特别是与心血管和呼吸器官系统相关的合并症和并发症的干预中,越来越多地实施了新型工程系统。在这篇综述中,我们对COVID-19的发病机制进行了简要而广泛的回顾,特别是与作为病毒入口点的血管紧张素转换酶2 (ACE2)有关。随后全面分析了COVID-19的心血管和呼吸合并症以及用于诊断和管理住院患者的新技术。本文综述了连续心肺监测系统、用于快速分诊患者的新型机器学习算法、各种成像模式、可穿戴免疫传感器、热点跟踪系统和其他新兴技术。还评估了COVID-19对免疫系统、相关炎症生物标志物和创新疗法的影响。最后,本文重点介绍了可穿戴和非可穿戴系统的影响,重点介绍了有助于诊断、监测和缓解疾病进展的未来技术。考虑到个人健康状况、合并症甚至社会经济因素的技术,可以主要通过疾病预防、早期发现和相关管理,大幅降低许多COVID-19患者的高死亡率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Healthcare Informatics Research
Journal of Healthcare Informatics Research Computer Science-Computer Science Applications
CiteScore
13.60
自引率
1.70%
发文量
12
期刊介绍: Journal of Healthcare Informatics Research serves as a publication venue for the innovative technical contributions highlighting analytics, systems, and human factors research in healthcare informatics.Journal of Healthcare Informatics Research is concerned with the application of computer science principles, information science principles, information technology, and communication technology to address problems in healthcare, and everyday wellness. Journal of Healthcare Informatics Research highlights the most cutting-edge technical contributions in computing-oriented healthcare informatics.  The journal covers three major tracks: (1) analytics—focuses on data analytics, knowledge discovery, predictive modeling; (2) systems—focuses on building healthcare informatics systems (e.g., architecture, framework, design, engineering, and application); (3) human factors—focuses on understanding users or context, interface design, health behavior, and user studies of healthcare informatics applications.   Topics include but are not limited to: ·         healthcare software architecture, framework, design, and engineering;·         electronic health records·         medical data mining·         predictive modeling·         medical information retrieval·         medical natural language processing·         healthcare information systems·         smart health and connected health·         social media analytics·         mobile healthcare·         medical signal processing·         human factors in healthcare·         usability studies in healthcare·         user-interface design for medical devices and healthcare software·         health service delivery·         health games·         security and privacy in healthcare·         medical recommender system·         healthcare workflow management·         disease profiling and personalized treatment·         visualization of medical data·         intelligent medical devices and sensors·         RFID solutions for healthcare·         healthcare decision analytics and support systems·         epidemiological surveillance systems and intervention modeling·         consumer and clinician health information needs, seeking, sharing, and use·         semantic Web, linked data, and ontology·         collaboration technologies for healthcare·         assistive and adaptive ubiquitous computing technologies·         statistics and quality of medical data·         healthcare delivery in developing countries·         health systems modeling and simulation·         computer-aided diagnosis
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