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Intelligent computing applications for COVID-19 : predictions, diagnosis, and prevention /

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"Accurate estimation, diagnosis, and prevention of COVID-19 is a global challenge for healthcare organizations. Innovative measures can introduce and implement AI, and Mathematical Modeling applications. This book provides insight into the recent advances of applications, statistical methods, a...

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Bibliographic Details
Corporate Author: Taylor & Francis
Other Authors: Saba, Tanzila (Editor), Khan, Amjad Rehman (Editor)
Format: eBook
Language:English
Published: Boca Raton, FL : CRC Press, 2021.
Edition:First edition.
Series:Innovations in Health Informatics and Healthcare.
Subjects:
COVID-19 (Disease) > Epidemiology > Data processing.
COVID-19 (Disease) > Epidemiology > Simulation methods.
COVID-19 (Disease) > Diagnosis > Data processing.
COVID-19 (Disease) > Diagnosis > Simulation methods.
Artificial intelligence > Medical applications.
COVID-19 > Épidémiologie > Informatique.
COVID-19 > Épidémiologie > Méthodes de simulation.
Intelligence artificielle > Applications en médecine.
TECHNOLOGY / Operations Research
Artificial intelligence > Medical applications
Electronic books.
Online Access:Connect to the full text of this electronic book
Connect to the full text of this electronic book
Table of Contents:
  • Deep learning for COVID-19 infection's diagnosis, prevention and treatment / Amjad Rehman, Kashif Mehmood, Noor Ayesha
  • Artificial intelligence in coronavirus detection
  • recent findings and future perspectives / Syed Ale Hassan, Sahar Gull, Shahzad Akbar, Israr Hanif, Sajid Iqbal, Muhammad Waqas Aziz
  • Solutions of differential equations for prediction of COVID-19 cases by homotopy perturbation method / Nahid Fatima and Monika Dhariwal
  • Predictive models of hospital readmission rate using the improved AdaBoost in COVID 19 / Arash Raftarai, Rahemeh Ramazani Mahounaki , Majid Harouni, Mohsen Karimi, Shakiba Khadem Olghoran
  • Nigerian Medical Laboratory diagnosis of COVID-19; from grass to grace / Obeta M. Uchejeso, Nkereuwem S. Etukudoh, Okoli C. Chukwudimma
  • COVID-19 CT image segmentation and detection : review / Zahra Nourbakhsh
  • Interactive medical chatbot for assisting COVID related queries / Aayush Gadia, Palash Nandi, Dipankar Das
  • COVID-19 outbreak prediction after lockdown over based on current data analytics / Muhammad Kashif, Tariq Sadad, Zahid Mehmood
  • A deep learning CNN model for genome sequence classification / Hemalatha Gunasekaran, K. Ramalakshmi, Shalini Ramanathan, R.Venkatesan
  • The impact of lockdown strategies on COVID-19 cases with a confined sentiment analysis of COVID -19 tweets / Tanzila Saba, Hind Alaskar, Dalyah Ajmal, Erum Afzal
  • A mathematical model and forecasting of nCovid19 : outbreak in India / G. Maria Jones, S. Godfrey Winster, A. George Maria Selvam and D. Vignesh
  • Automatic lung infection segmentation of Covid-19 in CT scan images / Mohsen Karimi, Majid Harouni, Afrooz Nasr, Nakisa Tavakoli
  • A review of feature selection algorithms in determining the factors affecting COVID-19 / Shadi Rafieipour, Sogand B Jaferi, Ziafat Rahmati, Nakisa Tavakoli, Shima Zarrabi Baboldasht
  • Industry 4.0 technologies based diagnosis for COVID-19 / Manmeet Kaur, Mohan Singh, Jaskanwar Singh.