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020 _a9783030689360
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024 7 _a10.1007/978-3-030-68936-0
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_2bicssc
072 7 _aTEC041000
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082 0 4 _a621.382
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245 1 0 _aComputational Intelligence Techniques for Combating COVID-19
_h[electronic resource] /
_cedited by Sandeep Kautish, Sheng-Lung Peng, Ahmed J. Obaid.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aX, 390 p. 154 illus., 129 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aEAI/Springer Innovations in Communication and Computing,
_x2522-8609
505 0 _aIntroduction -- Machine Intelligence Techniques for Identification and Diagnosis of COVID-19 -- AI and ML approaches for Drug Discovery and Manufacturing for COVID-19 -- Medical Imaging Diagnosis and Analysis for COVID-19 -- Personalized Medicines and vaccines development for COVID-19 -- Machine Learning and Behavioral Modification for COVID-19 -- Smart Health Record Management Techniques for COVID-19 -- Intelligent Clinical Trials for COVID-19 -- Crowdsourcing and Data Collection for COVID-19 -- Radiotherapy for COVID-19 -- Outbreak Prediction for COVID-19 -- Intelligent Mobile Applications for COVID-19 -- Internet of Things enabled applications and design Challenges -- Big Data Enabled Solutions for COVID-19 -- Electronic Governance Policies for Pandemic Crisis -- Use of Automation and Robots to Fight Coronavirus -- AR, VR and New-Age Technologies Demand Escalates Amid COVID-19 -- Unlocking Potentials of NLP to Fight against COVID-19 Crisis -- Chatbots for Coronavirus -- Conclusion.
520 _aThis book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19. The book gives the technological key drivers behind using AI to find drugs that target the virus, shedding light on the structure of COVID-19, detecting the outbreak and spread of new diseases, spotting signs of a COVID-19 infection in medical images, monitoring how the virus and lockdown is affecting mental health, and forecasting how COVID-19 cases and deaths will spread across cities and why. Further, the book helps readers understand computational intelligence techniques combating COVID-19 in a simple and systematic way. Provides a comprehensive reference covering innovations and development of theories, conceptual models and computational algorithms focused on COVID-19; Asserts all relevant research, key themes, complex adaptive systems, metrics and paradigms dedicated towards COVID-19, enabled with evolutionary methods of computational sciences; Explores how AI and computational techniques can help to predict which patients with the virus would go on to develop Acute Respiratory Distress Syndrome (ARDS).
650 0 _aTelecommunication.
_910437
650 0 _aBiomedical engineering.
_93292
650 0 _aMedical informatics.
_94729
650 1 4 _aCommunications Engineering, Networks.
_931570
650 2 4 _aBiomedical Engineering and Bioengineering.
_931842
650 2 4 _aHealth Informatics.
_931799
700 1 _aKautish, Sandeep.
_eeditor.
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700 1 _aPeng, Sheng-Lung.
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_4http://id.loc.gov/vocabulary/relators/edt
_949664
700 1 _aObaid, Ahmed J.
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_4http://id.loc.gov/vocabulary/relators/edt
_949665
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030689353
776 0 8 _iPrinted edition:
_z9783030689377
776 0 8 _iPrinted edition:
_z9783030689384
830 0 _aEAI/Springer Innovations in Communication and Computing,
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856 4 0 _uhttps://doi.org/10.1007/978-3-030-68936-0
912 _aZDB-2-ENG
912 _aZDB-2-SXE
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