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020 $a9780367644499$q(hbk.) :$cUSD74.99
035 $aNO000235155
037 $b公共圖書館臺南分區資源中心
040 $aYDX$beng$cYDX$dUKMGB$dTWTNM
050 14$aRA644.C67
082 0 $a614.592414028563$223
090 $a臺南市立圖書館
245 00$aArtificial intelligence applications in a pandemic :$bCOVID-19 /$cedited by Salah-ddine Krit ... [et al.].
246 30$aCOVID-19
250 $a1st ed.
260 $aBoca Raton, FL :$bCRC Press, Taylor & Francis Group,$c2022.
300 $ax, 143 p. :$bill. ;$c24 cm.
490 1 $aSmart and intelligent computuing in engineering
504 $aIncludes bibliographical references and index.
520 $aCOVID-19, a novel coronavirus pandemic has disrupted our society in many ways. Digital healthcare innovations are required more than ever before as we have come across myriad challenges during this pandemic. Scientists and developers are learning and nding ways to use arti cial intelligence applications and natural language processing to comprehend and tackle this disease. AI technologies are playing an important role in the response to the COVID-19 pandemic. Experts are using all possible tools to study the virus, diagnose individuals, and analyze the public health impacts. This book is a collection of some of the leading efforts related to AI and COVID-19 focused on nding how AI can be helpful in monitoring situations from early warnings, swift emergency responses, and critical decision-making. It discusses the use of machine learning and how it may help to reduce the impacts of this pandemic in conjunction with all other research and strategies going on. The book serves as a technical resource of data analytics and AI applications in tracking infectious diseases. It will serve academics, students, data scientists, medical practitioners, and those involved in managing a global pandemic. Features: Directs the attention to the smart digital healthcare system in this COVID-19 pandemic Simulates novel investigations and how they will be beneficial in understanding the pandemic Analyses the various issues related to computing, AI apps, big data analytic techniques, and predictive scienti skill gaps Explains some interesting and diverse types of challenges and data-driven healthcare applications.
650 0$aCOVID-19 (Disease)$xData processing.
650 0$aCOVID-19 Pandemic, 2020-$xData processing.
650 0$aArtificial intelligence$xMedical applications.
653 $a科技創新
653 $a知識性
700 1 $aKrit, Salahddine,$d1976-
830 0$aSmart and intelligent computuing in engineering.