Computational Intelligence and Predictive Analysis for Medical Science最新文献_第2页

Supervised classification and clustering algorithms for spatiotemporal change analysis assessment of urban growth 城市增长时空变化分析评价的监督分类与聚类算法

Computational Intelligence and Predictive Analysis for Medical Science Pub Date : 2021-10-25 DOI: 10.1515/9783110715279-005

Punam Das, Deepak Kumar

引用次数: 0

Pertinence of signal processing techniques in EEG analysis 信号处理技术在脑电图分析中的针对性

Computational Intelligence and Predictive Analysis for Medical Science Pub Date : 2021-10-25 DOI: 10.1515/9783110715279-007

Jisu Elsa Jacob

引用次数: 0

Real-time patient health monitoring 患者实时健康监测

Computational Intelligence and Predictive Analysis for Medical Science Pub Date : 2021-10-25 DOI: 10.1515/9783110715279-010

Shubham Sharma, Naincy Chamoli

引用次数: 0

Frontmatter

Computational Intelligence and Predictive Analysis for Medical Science Pub Date : 2021-10-25 DOI: 10.1515/9783110715279-fm

引用次数: 0

Personal big data–directed policies hoard and scrutinize colossal health data from emerging technologies 以个人大数据为导向的政策会囤积和审查来自新兴技术的海量健康数据

Computational Intelligence and Predictive Analysis for Medical Science Pub Date : 2021-10-25 DOI: 10.1515/9783110715279-009

M. Muthuselvam, J. V. Subramanian, M.A Parameshwari

引用次数: 0

Predictive analysis of consumers’ perception and decision-making process toward e-healthcare services in India 印度消费者对电子医疗服务的认知和决策过程的预测分析

Computational Intelligence and Predictive Analysis for Medical Science Pub Date : 2021-10-25 DOI: 10.1515/9783110715279-016

Tavishi Tewary, Namita Kapoor

引用次数: 0

Fitness tracking diagnostics 健身跟踪诊断

Computational Intelligence and Predictive Analysis for Medical Science Pub Date : 2021-10-25 DOI: 10.1515/9783110715279-008

Ankita Arora, Sanchit Guliani

引用次数: 0

Forecasting, visualization and analysis of COVID-19 in India using time series modeling 使用时间序列模型预测、可视化和分析印度COVID-19

Computational Intelligence and Predictive Analysis for Medical Science Pub Date : 2021-10-25 DOI: 10.1515/9783110715279-011

Afzal Ansari, Sourabh Kumar Burnwal

{"title":"Forecasting, visualization and analysis of COVID-19 in India using time series modeling","authors":"Afzal Ansari, Sourabh Kumar Burnwal","doi":"10.1515/9783110715279-011","DOIUrl":"https://doi.org/10.1515/9783110715279-011","url":null,"abstract":": Since the origination of COVID-19 in China and its spread across the globe, humanity has been put at risk and it has set a big alarm till its end across the country. Due to the unprecedented rate of increase in the number of cases and its subsequent pressure on the administration and health professionals globally, it would be highly needed to have a safe future by doing analysis and forecasting the number of new cases using some prediction methods. The current situation in India is getting worsened day-by-day due to which, the economy of this country has been down and unstable. In this paper, we have analyzed, how the numbers of daily infected cases in India could look like, predicting the trend, and investigate what the peak value could hit by now. We have used data-driven estimation methods like Fb-Prophet and long short-term memory (LSTM) as a state-of-the-art method and Deep Learning models respectively for forecasting the number of COVID-19 cases in India a few days ahead. We have proposed a method considering various parameters to predict daily confirmed future cases within a certain range which would be a beneficial tool for administrators and health officials.","PeriodicalId":402785,"journal":{"name":"Computational Intelligence and Predictive Analysis for Medical Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129291345","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: 1

List of contributors

Computational Intelligence and Predictive Analysis for Medical Science Pub Date : 2021-10-25 DOI: 10.1515/9783110715279-204

引用次数: 0