Enabling Healthcare 4.0 for Pandemics最新文献_第2页

Emerging Technologies for COVID‐19 COVID - 19的新兴技术

Enabling Healthcare 4.0 for Pandemics Pub Date : 2021-09-21 DOI: 10.1002/9781119769088.ch9

Rohit Anand, Nidhi Sindhwani, Avinash Saini, Shubham

引用次数: 7

A Hybrid Metaheuristic Algorithm for Intelligent Nurse Scheduling 智能护士调度的混合元启发式算法

Enabling Healthcare 4.0 for Pandemics Pub Date : 2021-09-21 DOI: 10.1002/9781119769088.ch11

T. Pham, S. Dao

引用次数: 1

Rapid Forecasting of Pandemic Outbreak Using Machine Learning: The Case of COVID‐19 使用机器学习快速预测大流行爆发:以COVID - 19为例

Enabling Healthcare 4.0 for Pandemics Pub Date : 2021-09-21 DOI: 10.1002/9781119769088.ch5

Nishant Jha, D. Prashar

{"title":"Rapid Forecasting of Pandemic Outbreak Using Machine Learning: The Case of COVID‐19","authors":"Nishant Jha, D. Prashar","doi":"10.1002/9781119769088.ch5","DOIUrl":"https://doi.org/10.1002/9781119769088.ch5","url":null,"abstract":"Some huge scope outside impact pandemics has risen in the course of the most recent two decades, including human, natural life, and plant plagues. Authorities face strategy issues that are reliant on deficient information and require sickness gauges. In this manner, there is an earnest need to create models that empower us to outline all accessible information to estimate and screen an advancing pandemic in an ideal way. This chapter targets assessing different models and proposing an early-cautioning AI approach that can conjecture potential flare-ups of ailments. For gauge COVID-19 episodes, the SEIR model, molecule channel calculation and an assortment of pandemic-related datasets are utilized to investigate different models and strategies. In this chapter, various intermediaries have been clarified for the pandemic season prompting comparative conduct of the powerful multiplication number. We found that a solid relationship exists among conferences and analyzed datasets, particularly when considering time based models. Singular parameters gave like distinctive episode seasons esteems, in this way offering an open door for future flare-ups to utilize such data. © 2021 Scrivener Publishing LLC.","PeriodicalId":207943,"journal":{"name":"Enabling Healthcare 4.0 for Pandemics","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114716770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prevalence of Internet of Things in Pandemic 物联网在流行病中的流行

Enabling Healthcare 4.0 for Pandemics Pub Date : 2021-09-21 DOI: 10.1002/9781119769088.ch13

Rishita Khurana, Madhulika Bhatia

{"title":"Prevalence of Internet of Things in Pandemic","authors":"Rishita Khurana, Madhulika Bhatia","doi":"10.1002/9781119769088.ch13","DOIUrl":"https://doi.org/10.1002/9781119769088.ch13","url":null,"abstract":"The current COVID-19 pandemic has created several problems now-a-days. All these problems point to the inability to examine and scale the situation according to the intensity of the outbreak. Along with creating problems, this pandemic has exceeded many boundaries such as the provincial, radical, conceptual, spiritual, social, and educational. It has changed the fundamental nature of our society. For controlling such a pandemic situation, a collection, analysis, elucidation of data on regular basis regarding the spreading disease trends should be done in order to predict the outbreak of major health related symptoms. A proper surveillance is required to cure any type of disease. Surveillance-collection of data can be performed best with the assistance of technology like Internet of things. As “Internet of things is an idea which comprises of interconnected frameworks which has the ability of finding data about a specific thing with the assistance of extraordinary identifiers and detecting capability.” The technological platform of IoT connected with the healthcare system is helpful in observing the infected people. This monitoring is done by the interconnected network offered by IoT [1]. Implementation of such a technology will help to decrease the healthcare expenses and enhance treatment of the infected patients. © 2021 Scrivener Publishing LLC.","PeriodicalId":207943,"journal":{"name":"Enabling Healthcare 4.0 for Pandemics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128116876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis and Prediction on COVID‐19 Using Machine Learning Techniques 基于机器学习技术的COVID - 19分析与预测

Enabling Healthcare 4.0 for Pandemics Pub Date : 2021-09-21 DOI: 10.1002/9781119769088.ch3

Supriya Raheja, Shaswat Datta

引用次数: 0