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Herausgeber: 
  • Khalid Raza
  • Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  Oktober 2021  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Computeranwendungen in Industrie und Technologie / COVID-19 / DrugDesignforCOVID-19 / DrugRepurposingforCOVID-19 / EpidemicForecastModel / Künstliche Intelligenz (KI) / NovelCoronavirusDisease / Predictivemodelling
    ISBN:  9789811585364 
    EAN-Code: 
    9789811585364 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 25 mm 
    Gewicht:  686 gr 
    Seiten:  456 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    The novel coronavirus disease 2019 (COVID-19) pandemic has posed a major threat to human life and health. This book is beneficial for interdisciplinary students, researchers, and professionals to understand COVID-19 and how computational intelligence can be used for the purpose of surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease. The book contains different aspects of COVID-19 that includes fundamental knowledge, epidemic forecast models, surveillance and tracking systems, IoT- and IoMT-based integrated systems for COVID-19, social network analysis systems for COVID-19, radiological images (CT, X-ray) based diagnosis system, and computational intelligence and in silico drug design and drug repurposing methods against COVID-19 patients. The contributing authors of this volume are experts in their fields and they are from various reputed universities and institutions across the world. This volume is a valuable and comprehensive resource forcomputer and data scientists, epidemiologists, radiologists, doctors, clinicians, pharmaceutical professionals, along with graduate and research students of interdisciplinary and multidisciplinary sciences.

      



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