COVID-19 疾病预测学习模型研究

3区 计算机科学 Q1 Computer Science
Sakshi Jain, Pradeep Kumar Roy
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引用次数: 0

摘要

冠状病毒属于冠状病毒科。它是 COVID-19 传染病的元凶,已影响到全球 213 个国家和地区。计算领域的研究人员一直在积极提出技术,以过滤有关该疾病的信息和建议,并为控制疫情提供监控。研究人员利用胸部 X 光图像、腹部计算机断层扫描和 Tweet 数据集,建立了基于机器学习和深度学习的模型,用于 COVID-19 的预测和预报。准确性、灵敏度、特异性、精确度和 F1 测量是研究人员评估研究质量的五个主要评价标准。本文总结了基于机器学习和深度学习模型的 COVID-19 研究工作。对这些研究成果及其局限性和数据集来源的分析,将为未来的研究提供一个快速起点,从而确定研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A study of learning models for COVID-19 disease prediction

A study of learning models for COVID-19 disease prediction

Coronavirus belongs to the family of Coronaviridae. It is responsible for COVID-19 communicable disease, which has affected 213 countries and territories worldwide. Researchers in computational fields have been active in proposing techniques to filter the information and recommendations about this disease and provide surveillance in controlling this outbreak. Researchers used Chest X-ray images, abdominal Computed Tomography scans, and Tweet datasets for building machine learning and deep learning-based models for COVID-19 predictions and forecasting purposes. Accuracy, sensitivity, specificity, precision, and F1-measure are the five primary evaluation criteria researchers employ to evaluate the quality of their study. This article summarises research works on COVID-19 based on machine learning and deep learning models. The analysis of these research works, along with their limitations and source of datasets, will give a quick start for future research to arrive at a defined direction.

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来源期刊
Journal of Ambient Intelligence and Humanized Computing
Journal of Ambient Intelligence and Humanized Computing COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
9.60
自引率
0.00%
发文量
854
期刊介绍: The purpose of JAIHC is to provide a high profile, leading edge forum for academics, industrial professionals, educators and policy makers involved in the field to contribute, to disseminate the most innovative researches and developments of all aspects of ambient intelligence and humanized computing, such as intelligent/smart objects, environments/spaces, and systems. The journal discusses various technical, safety, personal, social, physical, political, artistic and economic issues. The research topics covered by the journal are (but not limited to): Pervasive/Ubiquitous Computing and Applications Cognitive wireless sensor network Embedded Systems and Software Mobile Computing and Wireless Communications Next Generation Multimedia Systems Security, Privacy and Trust Service and Semantic Computing Advanced Networking Architectures Dependable, Reliable and Autonomic Computing Embedded Smart Agents Context awareness, social sensing and inference Multi modal interaction design Ergonomics and product prototyping Intelligent and self-organizing transportation networks & services Healthcare Systems Virtual Humans & Virtual Worlds Wearables sensors and actuators
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