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020 _a9783031599675
_9978-3-031-59967-5
024 7 _a10.1007/978-3-031-59967-5
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
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072 7 _aUYQ
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082 0 4 _a006.3
_223
245 1 0 _aSurveillance, Prevention, and Control of Infectious Diseases
_h[electronic resource] :
_bAn AI Perspective /
_cedited by Muhammad E. H. Chowdhury, Serkan Kiranyaz.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXII, 240 p. 66 illus., 61 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Philosophical and Mathematical Background -- Axioms of Soft Logic -- Soft Numbers -- The Soft Coordinate System -- Soft Logic and Calculus -- Soft Curves -- The Dynamics of Soft Logic -- Soft Analysis -- Limits of Soft Numbers -- The Soft Mobius Function and the Riemann Hypothesis -- Soft Probability and Entropy -- Soft Logic and the Privacy Paradox -- Application Examples and Further Research.
520 _aThis is a pioneering book that delves into the intersection of artificial intelligence (AI) and healthcare, specifically focusing on the detection and prevention of infectious diseases. Authored by leading experts in the field, this book offers a comprehensive overview of the latest advancements, challenges, and applications of AI in combating infectious diseases. With a unique emphasis on big data, wearable data, and computer vision, the book presents original research works that showcase innovative approaches to leveraging AI for disease surveillance, screening, and severity stratification. Through a combination of review chapters summarizing the current state of the field and novel applications of AI technology, readers gain valuable insights into the potential of AI in addressing major life-threatening infectious diseases identified by the UN Sustainable Development Goal 3. The book's structure ensures a balanced blend of theoretical foundations and practical applications, making it accessible to both researchers and healthcare professionals. By exploring cutting-edge methodologies and case studies, the book equips readers with the knowledge and tools needed to harness the power of AI in the fight against infectious diseases, ultimately contributing to global efforts to improve public health outcomes. With its interdisciplinary approach and focus on AI-driven solutions, " Surveillance, prevention, and control of infectious diseases: An AI perspective" serves as an invaluable resource for researchers, practitioners, and policymakers seeking to stay abreast of the latest developments in this rapidly evolving field. Whether exploring the role of wearable devices in disease monitoring or examining the potential of computer vision for early detection, this book offers a comprehensive overview of AI applications that have the potential to revolutionize infectious disease management and prevention strategies.
650 0 _aArtificial intelligence.
_93407
650 0 _aDiagnosis.
_948423
650 0 _aEpidemiology.
_942870
650 0 _aArtificial intelligence
_xData processing.
_921787
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aDiagnosis.
_948423
650 2 4 _aEpidemiology.
_942870
650 2 4 _aData Science.
_934092
700 1 _aChowdhury, Muhammad E. H.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9104753
700 1 _aKiranyaz, Serkan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9104754
710 2 _aSpringerLink (Online service)
_9104757
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031599668
776 0 8 _iPrinted edition:
_z9783031599682
776 0 8 _iPrinted edition:
_z9783031599699
856 4 0 _uhttps://doi.org/10.1007/978-3-031-59967-5
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cEBK
999 _c88446
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