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_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. |
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300 |
_aX, 390 p. 154 illus., 129 illus. in color. _bonline resource. |
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336 |
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_acomputer _bc _2rdamedia |
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_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 |
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650 | 0 |
_aBiomedical engineering. _93292 |
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650 | 0 |
_aMedical informatics. _94729 |
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_aCommunications Engineering, Networks. _931570 |
650 | 2 | 4 |
_aBiomedical Engineering and Bioengineering. _931842 |
650 | 2 | 4 |
_aHealth Informatics. _931799 |
700 | 1 |
_aKautish, Sandeep. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _949663 |
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700 | 1 |
_aPeng, Sheng-Lung. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _949664 |
|
700 | 1 |
_aObaid, Ahmed J. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _949665 |
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_aSpringerLink (Online service) _949666 |
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_iPrinted edition: _z9783030689353 |
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_iPrinted edition: _z9783030689377 |
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_iPrinted edition: _z9783030689384 |
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