Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis

This book comprehensively covers the topic of COVID-19 and other pandemics and epidemics data analytics using computational modelling. Biomedical and Health Informatics is an emerging field of research at the intersection of information science, computer science, and health care. The aim of pandemics and epidemics research is to ensure high-quality, efficient healthcare, better treatment, and quality of life by efficiently analyzing the abundant medical and healthcare data, including patients' data, electronic health records (EHRs), and lifestyle. Recent advances in representation learning algorithms allow us to automatically learn the pattern and representation of the given data for the development of such models. Medical Image Mining, a novel research area, is increasingly generated and stored digitally. Image mining in medicine can help to uncover new relationships between data and reveal new and useful information that can be helpful for scientists and biomedical practitioners.

Format: Paperback / softback
Length: 405 pages
Publication date: 15 December 2022
Publisher: Springer Nature Switzerland AG

The field of biomedical and health informatics is rapidly evolving, intersecting information science, computer science, and healthcare to address the challenges and opportunities presented by pandemics and epidemics. With the abundance of readily available medical data, researchers aim to optimize healthcare delivery, enhance treatment outcomes, and improve the quality of life for individuals affected by these crises. In the past, developing models for biomedical or healthcare applications often required domain expertise. However, recent advancements in representation learning algorithms have made it possible to automatically learn the patterns and representations of medical data, enabling the development of models without the need for specialized knowledge.

One area of significant growth in biomedical and health informatics is medical image mining. With the increasing generation and storage of medical images in digital formats, such as computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI), and ultrasound, there is a growing need for efficient methods to analyze and extract valuable information from these images. Image mining techniques can help identify patterns, diagnose diseases, and predict outcomes, making it an essential tool in healthcare.

Assessing COVID-19 and other pandemics and epidemics using computational modelling and data analysis will play a vital role in improving our understanding of these crises and developing effective strategies for response and recovery. By leveraging advanced computational techniques and big data analysis, researchers can identify patterns, track disease spread, and optimize resource allocation to ensure the best possible outcomes for affected populations.

In conclusion, biomedical and health informatics is a rapidly evolving field with significant potential to transform healthcare delivery and improve patient outcomes. With the advent of advanced computational modelling and data analysis techniques, researchers can unlock the full potential of medical data to address the challenges posed by pandemics and epidemics. By working together, we can build a more resilient and responsive healthcare system that is better equipped to handle future crises.

Weight: 658g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030797553
Edition number: 1st ed. 2022