Description

Book Synopsis

Health Metrics and the Spread of Infectious Diseases: Machine Learning Applications and Spatial Modelling Analysis with R is an introductory guide to health metrics and infectious diseases. It demonstrates how to calculate these metrics to compare the health status of different countries and explores the world of infectious diseases. It tests various machine learning tools for analyzing trends and relationships among key variables, aiming to prevent unexpected outcomes. Through detailed explanations and practical examples, readers will gain a comprehensive understanding of Disability Adjusted Life Years (DALYs) and their components.

Features:

  • Structured into four main sections â foundational health metrics, machine learning applications, data visualization, and real-world case studies
  • Integrates real-world case studies with data visualization and machine learning techniques, including spatial modeling with the R programming language

Health Metrics and the Spread of Infectious

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    £999.99

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    A Hardback by Federica Gazzelloni

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      Publisher: CRC Press
      Publication Date: 5/23/2025
      ISBN13: 9781032625782, 978-1032625782
      ISBN10: 1032625783
      Also in:
      Epidemiology and Medical statistics

      Description

      Book Synopsis

      Health Metrics and the Spread of Infectious Diseases: Machine Learning Applications and Spatial Modelling Analysis with R is an introductory guide to health metrics and infectious diseases. It demonstrates how to calculate these metrics to compare the health status of different countries and explores the world of infectious diseases. It tests various machine learning tools for analyzing trends and relationships among key variables, aiming to prevent unexpected outcomes. Through detailed explanations and practical examples, readers will gain a comprehensive understanding of Disability Adjusted Life Years (DALYs) and their components.

      Features:

      • Structured into four main sections â foundational health metrics, machine learning applications, data visualization, and real-world case studies
      • Integrates real-world case studies with data visualization and machine learning techniques, including spatial modeling with the R programming language

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