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System Design for Epidemics Using Machine Learning and Deep Learning

This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors study different research directions that are working to serve challenges faced in building strong healthcare infrastructure with respect to the pandemic cri...

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Bibliographic Details
Other Authors: Kanagachidambaresan, G. R. (Editor), Bhatia, Dinesh (Editor), Kumar, Dhilip (Editor), Mishra, Animesh (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2023, 2023
Edition:1st ed. 2023
Series:Signals and Communication Technology
Subjects:
Machine Learning
Health Informatics
Medical Informatics
Artificial Intelligence
Telecommunication
Communications Engineering, Networks
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 1. Pandemic effect of COVID-19: Identification, Present scenario and preventive measures using Machine learning model.
  • 2. A Comprehensive Review of the Smart Health Records to prevent Pandemic
  • 3. Automation of COVID-19 Disease Diagnosis from Radiograph
  • 4. Applications of Artificial Intelligence in the attainment of Sustainable Development Goals
  • 5. A Novel Model for IoT Blockchain Assurance Based Compliance to COVID Quarantine
  • 6. DEEP LEARNING BASED CONVOLUTIONALNEURAL NETWORK WITH RANDOM FOREST APPROACH FOR MRI BRAIN TUMOUR SEGMENTATION
  • 7. Expert systems for improving the effectiveness of remote health monitoring in Covid-19 Pandemic - A Critical Review
  • 8. Artificial Intelligence-based predictive tools for Life-threatening diseases
  • 9. Deep Convolutional Generative Adversarial Network for Metastatic Tissue Diagnosis in Lymph Node Section
  • 10. Transformation in Health Sector during Pandemic by Photonics Devices
  • 11. DIAGNOSIS OF COVID-19 FROM CT IMAGES AND RESPIRATORYSOUND SIGNALS USING DEEP LEARNING STRATEGIES
  • 12. The Role of Edge Computing in Pandemic and Epidemic Situations with its Solutions
  • 13. Advances and application of Artificial Intelligence and Machine learning in the field of cardiovascular diseases and its role during the Pandemic condition
  • 14. Effective Health Screening and Prompt Vaccination to Counter the Spread of Covid-19 and Minimize its Adverse Effects
  • 15. CROWD DENSITY ESTIMATION USING NEURAL NETWORK FOR COVID’19 AND FUTURE PANDEMICS
  • 16. “Role of digital healthcare in rehabilitation during pandemic”
  • 17. AN EPIDEMIC OF NEURODEGENERATIVE DISEASE ANALYSIS USING MACHINE LEARNING TECHNIQUES
  • 18. Covid-19 Growth Curve Forecasting for India using Deep Learning Techniques

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