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Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis
Hardcover
Series: Studies in Computational Intelligence, Book 1024
Medical ReferenceTechnology & EngineeringDatabases
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ISBN10: 9811910758
ISBN13: 9789811910753
Publisher: Springer
Published: Apr 20 2022
Pages: 502
Weight: 1.98
Height: 1.13 Width: 6.14 Depth: 9.21
Language: English
ISBN13: 9789811910753
Publisher: Springer
Published: Apr 20 2022
Pages: 502
Weight: 1.98
Height: 1.13 Width: 6.14 Depth: 9.21
Language: English
Chapter 1. A bibliometric analysis on the role of artificial intelligence in healthcare.- Chapter 2. Supervised Intelligent Clinical Approach for Breast Cancer Tumour Categorisation.- Chapter 3. Health Monitoring and Integrated Wearables.- Chapter 4. A Comprehensive Review Analysis of Alzheimer Disorder using Machine Learning Approach.- Chapter 5. Machine Learning Techniques in Medical Image: A Short Review.- Chapter 6. Analysis of Diabetic Retinopathy Detection Techniques using CNN Models.- Chapter 7. Experimental Evaluation Of Brain Tumor Image Segmentation and Detection Using CNN Model.- Chapter 8. Effective Deep Learning Algorithms for Personalized Healthcare Services.- Chapter 9. Automatic lung carcinoma identification and classification in CT images using CNN deep learning model.- Chapter 10. Augmented Intelligence: Deep Learning Models for Healthcare.- Chapter 11. Sentiment analysis and emotion detection with healthcare perspective.- Chapter 12. Augmented Intelligence in Mental healthcare: Sentiment analysis & emotion detection with healthcare perspective.- Chapter 13. NLP applications for big data analytics within healthcare.- Chapter 14. Cognitive Computing Driven Healthcare: A Precise Study.- Chapter 15. Cognitive Techniques for Brain Disorder Management: A Future Trend.- Chapter 16. Relevance of Blockchain in Revolutionizing Health Records.- Chapter 17. A Systematic Review on Blockchain Technology: Concepts, Applications, and Prospects in Healthcare.- Chapter 18. Integrated Machine Learning Models for Enhanced Security of Healthcare data.- Chapter 19. Symptoms based Biometric Pattern Detection and Recognition.- Chapter 20. Time Series Analysis of COVID 19 waves in India for Social Good.- Chapter 21. Detection of COVID-19 using A Multi-Scale Deep Learning Network: Covid-MSNet.- Chapter 22. Immersive Technologies in the Healthcare Space.- Chapter 23. Artificial Intelligence in Telemedicine: A Brief Survey.- Chapter 24. Infectious Diseases Reporting System Using Naïve Bayes Classification Algorithm.- Chapter 25. A Comprehensive Study of Explainable Artificial Intelligence In Healthcare.
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