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Saba / Khan

Intelligent Computing Applications for COVID-19

Predictions, Diagnosis, and Prevention

Medium: Buch
ISBN: 978-0-367-69247-6
Verlag: CRC Press
Erscheinungstermin: 08.09.2021
Lieferfrist: bis zu 10 Tage

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.


Produkteigenschaften


  • Artikelnummer: 9780367692476
  • Medium: Buch
  • ISBN: 978-0-367-69247-6
  • Verlag: CRC Press
  • Erscheinungstermin: 08.09.2021
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2021
  • Serie: Innovations in Health Informatics and Healthcare
  • Produktform: Gebunden, HC gerader Rücken kaschiert
  • Gewicht: 652 g
  • Seiten: 344
  • Format (B x H x T): 161 x 240 x 22 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

Chapter 1 Deep Learning for COVID-19 Infection's Diagnosis, Prevention, and Treatment Chapter 2Artificial Intelligence in Coronavirus Detection-Recent Findings and Future Perspectives Chapter 3Solutions of Differential Equations for Prediction of COVID-19 Cases by Homotopy Perturbation MethodChapter 4Predictive Models of Hospital Readmission Rate Using the Improved AdaBoost in COVID-19 Chapter 5Nigerian Medical Laboratory Diagnosis of COVID-19; from Grass to GraceChapter 6 COVID-19 CT Image Segmentation and Detection: Review Chapter 7Interactive Medical Chatbot for Assisting with COVID-related Queries Chapter 8 COVID-19 Outbreak Prediction After Lockdown, Based on Current Data Analytics Chapter 9A Deep Learning CNN Model for Genome Sequence ClassificationChapter 10 The Impact of Lockdown Strategies on COVID-19 Cases with a Confined Sentiment Analysis of COVID-19 Tweets Chapter 11 A Mathematical Model and Forecasting of COVID-19 Outbreak in India Chapter 12 Automatic Lung Infection Segmentation of COVID-19 in CT Scan Images Chapter 13 A Review of Feature Selection Algorithms in Determining the Factors Affecting COVID-19 Chapter 14 Industry 4.0 Technology-based Diagnosis for COVID-19 Index