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fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf
fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf
fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf

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Mishra / Shaalan / Tripathy

Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis

Medium: Buch
ISBN: 978-981-19-1075-3
Verlag: Springer Nature Singapore
Erscheinungstermin: 20.04.2022
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The book discusses how augmented intelligence can increase the efficiency and speed of diagnosis in healthcare organizations. The concept of augmented intelligence can reflect the enhanced capabilities of human decision-making in clinical settings when augmented with computation systems and methods. It includes real-life case studies highlighting impact of augmented intelligence in health care. The book offers a guided tour of computational intelligence algorithms, architecture design, and applications of learning in healthcare challenges. It presents a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It also presents specific applications of augmented intelligence in health care, and architectural models and frameworks-based augmented solutions.

Produkteigenschaften

  • Artikelnummer: 9789811910753
  • Medium: Buch
  • ISBN: 978-981-19-1075-3
  • Verlag: Springer Nature Singapore
  • Erscheinungstermin: 20.04.2022
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2022
  • Serie: Studies in Computational Intelligence
  • Produktform: Gebunden
  • Gewicht: 939 g
  • Seiten: 502
  • Format (B x H x T): 160 x 241 x 34 mm
  • Ausgabetyp: Kein, Unbekannt

Themen

Autoren/Hrsg.

Herausgeber

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 Mentalhealthcare: 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.