Alshahrani Saeed M, Khan Nayyar Ahmed
Department of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra, Riyadh, Saudi Arabia.
PeerJ Comput Sci. 2023 Mar 13;9:e1274. doi: 10.7717/peerj-cs.1274. eCollection 2023.
One of humanity's most devastating health crises was COVID-19. Billions of people suffered during this pandemic. In comparison with previous global pandemics that have been faced by the world before, societies were more accurate with the technical support system during this natural disaster. The intersection of data from healthcare units and the analysis of this data into various sophisticated systems were critical factors. Different healthcare units have taken special consideration to advance technical inputs to fight against such situations. The field of natural language processing (NLP) has dramatically supported this. Despite the primitive methods for monitoring the bio-metric factors of a person, the use of cognitive science has emerged as one of the most critical features during this pandemic era. One of the essential features is the potential to understand the data based on various texts and user inputs. The deployment of various NLP systems is one of the most challenging factors in handling the bulk amount of data flowing from multiple sources. This study focused on developing a powerful application to advise patients suffering from ailments related to COVID-19. The use of NLP refers to facilitating a user to identify the present critical situation and make necessary decisions while getting infected. This article also summarises the challenges associated with NLP and its usage for future NLP-based applications focusing on healthcare units. There are a couple of applications that reside for android-based systems as well as web-based chat-bot systems. In terms of security and safety, application development for iOS is more advanced. This study also explains the block meant of an application for advising COVID-19 infection. A natural language processing powered application for an iOS operating system is indeed one of its kind, which will help people who need to advise proper guidance. The article also portrays NLP-based application development for healthcare problems associated with personal reporting systems.
人类最具毁灭性的健康危机之一是新冠疫情。在这场大流行期间，数十亿人遭受了痛苦。与世界此前面临的全球大流行相比，在这场自然灾害期间，社会在技术支持系统方面更加精准。医疗保健单位的数据交叉以及将这些数据分析到各种复杂系统中是关键因素。不同的医疗保健单位特别考虑增加技术投入以应对此类情况。自然语言处理（NLP）领域为此提供了巨大支持。尽管监测人体生物特征因素的方法较为原始，但认知科学的应用已成为这一疫情时代最关键的特征之一。其中一个重要特征是基于各种文本和用户输入理解数据的潜力。部署各种NLP系统是处理来自多个来源的大量数据时最具挑战性的因素之一。本研究专注于开发一个强大的应用程序，为患有与新冠病毒相关疾病的患者提供建议。NLP的使用旨在帮助用户在感染时识别当前的危急情况并做出必要决策。本文还总结了与NLP相关的挑战及其在未来基于NLP的医疗保健单位应用中的使用情况。有一些应用程序适用于安卓系统以及基于网络的聊天机器人系统。在安全方面，iOS的应用开发更为先进。本研究还解释了一个用于提供新冠病毒感染建议的应用程序的模块。一个由自然语言处理驱动的适用于iOS操作系统的应用程序确实是独一无二的，它将帮助那些需要适当指导建议的人们。本文还描述了针对与个人报告系统相关的医疗保健问题的基于NLP的应用程序开发。
