COVID-19パンデミックのための知的データ分析<br>Intelligent Data Analysis for COVID-19 Pandemic (Algorithms for Intelligent Systems)

個数：

COVID-19パンデミックのための知的データ分析
Intelligent Data Analysis for COVID-19 Pandemic (Algorithms for Intelligent Systems)

  • 提携先の海外書籍取次会社に在庫がございます。通常3週間で発送いたします。
    【重要ご説明事項】
    1. 納期遅延や、ご入手不能となる場合が若干ございます。
    2. 複数冊ご注文の場合は、ご注文数量が揃ってからまとめて発送いたします。
    3. 美品のご指定は承りかねます。

    ●3Dセキュア導入とクレジットカードによるお支払いについて
  • 【入荷遅延について】
    世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
    おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。
  • ◆画像の表紙や帯等は実物とは異なる場合があります。
  • ◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
    また、洋書販売価格は、ご注文確定時点での日本円価格となります。
    ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。
  • 製本 Hardcover:ハードカバー版／ページ数 370 p.
  • 言語 ENG
  • 商品コード 9789811615733
  • DDC分類 620

Full Description

This book presents intelligent data analysis as a tool to fight against COVID-19 pandemic. The intelligent data analysis includes machine learning, natural language processing, and computer vision applications to teach computers to use big data-based models for pattern recognition, explanation, and prediction. These functions are discussed in detail in the book to recognize (diagnose), predict, and explain (treat) COVID-19 infections, and help manage socio-economic impacts. It also discusses primary warnings and alerts; tracking and prediction; data dashboards; diagnosis and prognosis; treatments and cures; and social control by the use of intelligent data analysis. It provides analysis reports, solutions using real-time data, and solution through web applications details.

Contents

Chapter 1. Machine Learning Based Ensemble Approach for Predicting the Mortality Risk of Covid-19 Patients: A Case Study.- Chapter 2. The Role of Internet of Health Things (IoHTs) & Innovative Internet of  5G Medical Robotic Things (IIo-5GMRTs) in COVID-19 Global Health Risk Management and Logistics Planning.- Chapter 3. Battling COVID-19 with Process Model of Integrated Digital Technology: An Analysis of Qualitative Data.- Chapter 4. High-fidelity intelligence ventilator to help infect with Covid-19 based on artificial intelligence.- Chapter 5. Boon of Artificial Intelligence in Diagnosis of Covid-19.- Chapter 6. Artificial Intelligence and Big Data Solutions for COVID-19.- Chapter 7. Modeling the Transmition Dynamics of COVID-19 Virus Disease in Nigeria.- Chapter 8. Emerging Trends in Higher Education during Pandemic Covid-19: An impact study From West Bengal.- Chapter 9. COVID-19: Virology, Epidemiology, Diagnostics and Predictive modelling.- Chapter 10. Improved Estimation inLogistic Regression through Quadratic Bootstrap Approach: An Application in Indian Agricultural e-learning System during COVID-19 Pandemic.- Chapter 11. COVID-19 and Stock Markets: Deaths and Strict Policies.- Chapter 12. Artificial Intelligence Techniques in Medical Imaging for Detection of Corona Virus (COVID-19 / SARS-COV-2): A Brief Survey.- Chapter 13. A Travelling Disinfection-man Problem (TDP) for COVID-19: A Nonlinear Binary Constrained Gaining-Sharing knowledge-based Optimization Algorithm.- Chapter 14. COVID-19 Lock down Impact on Mental Health: A Cross-sectional Online Survey from Kerala, India.- Chapter 15. Analysis, Modelling and Prediction of COVID-19 Outbreaks using Machine Learning Algorithms.