Intelligent computing applications for COVID-19 : predictions, diagnosis, and prevention / edited by Tanzila Saba and Amjad Rehman Khan.

Format:

Book

Contributor:

Saba, Tanzila, editor.

Khan, AR (Amjad Rehman), editor.

Series:

Innovations in Health Informatics and Healthcare

Innovations in health informatics and healthcare : using artificial intelligence and smart computing

Language:

English

Subjects (All):

COVID-19 (Disease)--Epidemiology--Data processing.

COVID-19 (Disease).

COVID-19 (Disease)--Epidemiology--Simulation methods.

COVID-19 (Disease)--Diagnosis--Data processing.

COVID-19 (Disease)--Diagnosis--Simulation methods.

Artificial intelligence--Medical applications.

Artificial intelligence.

Physical Description:

1 online resource (322 pages)

Edition:

First edition.

Place of Publication:

Boca Raton, FL : CRC Press, 2021.

Summary:

"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.

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.

Notes:

Description based on print version record.

Includes bibliographical references and index.

ISBN:

9781003141105

1003141102

9781000423600

1000423603

9781000423631

1000423638

OCLC:

1264469575