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.

"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, and mathematical modeling for the healthcare industry. This book covers the state-of-the-art applications of AI and Machine Learning in past epidemics, pandemics, and COVID-19. It offers recent global case studies, and discusses how AI and statistical methods, initiatives, and applications such as Machine Learning, Deep Learning, Correlation and Regression Analysis play a major role in the prediction, diagnosis, and prevention of a pandemic. It will also focus on how AI and statistical applications can facilitate and restructure the healthcare system. This book is written for Researchers, Students, Professionals, Executives, and the general public"-- Provided by publisher.

OCLC-licensed vendor bibliographic record.