{"product_id":"computational-modelling-and-imaging-for-sarscov2-and-covid19-9780367696245","title":"Computational Modelling and Imaging for SARS-CoV-2 and COVID-19","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003eThis book aims to present new computational techniques and methodologies for analyzing the clinical, epidemiological, and public health aspects of the SARS-CoV-2 and COVID-19 pandemics, including the use of soft computing techniques such as machine learning algorithms for epidemiological analysis, computational image processing algorithms for COVID-19 lesion detection, and computational methods for analyzing SARS-CoV-2 infection. It also discusses conventional epidemiological models and machine learning techniques for predicting the course of the epidemic and provides real-life examples through case studies. The book is intended for biomedical engineers, mathematicians, postgraduate students, researchers, and medical scientists working on identifying and tracking infectious diseases. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 146 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 25 September 2023\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Taylor \u0026amp; Francis Ltd\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThe aim of this comprehensive book is to present cutting-edge computational techniques and methodologies for analyzing the clinical, epidemiological, and public health aspects of the SARS-CoV-2 and COVID-19 pandemic. It delves into the utilization of soft computing techniques, including machine learning algorithms, to examine the epidemiological dimensions of the SARS-CoV-2 virus. The book offers a clear and concise explanation of novel computational image processing algorithms for the accurate detection of COVID-19 lesions in lung CT and X-ray images. It explores a range of computational methods for computerized analysis of SARS-CoV-2 infection, including severity assessment. Furthermore, the book provides a detailed description of the algorithms that have the potential to facilitate large-scale screening of SARS-CoV-2 infected cases. Additionally, it elucidates conventional epidemiological models and machine learning techniques for predicting the course of the COVID-19 epidemic. Real-life examples are provided through comprehensive case studies, making the content accessible and relevant to a wide audience, including biomedical engineers, mathematicians, postgraduate students, researchers, and medical scientists engaged in identifying and tracking infectious diseases.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 453g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 234 x 156 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9780367696245\u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Paperback \/ softback","offer_id":44646853837050,"sku":"9780367696245","price":50.44,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1697219346534_book.jpg?v=1697575972","url":"https:\/\/shulphink.com\/products\/computational-modelling-and-imaging-for-sarscov2-and-covid19-9780367696245","provider":"Shulph Ink","version":"1.0","type":"link"}