Deep Learning in Personalized Healthcare and Decision Support
eBook - ePub

Deep Learning in Personalized Healthcare and Decision Support

  1. 300 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Deep Learning in Personalized Healthcare and Decision Support

About this book

Deep Learning in Personalized Healthcare and Decision Support discusses the potential of deep learning technologies in the healthcare sector. The book covers the application of deep learning tools and techniques in diverse areas of healthcare, such as medical image classification, telemedicine, clinical decision support system, clinical trials, electronic health records, precision medication, Parkinson disease detection, genomics, and drug discovery. In addition, it discusses the use of DL for fraud detection and internet of things. This is a valuable resource for researchers, graduate students and healthcare professionals who are interested in learning more about deep learning applied to the healthcare sector. Although there is an increasing interest by clinicians and healthcare workers, they still lack enough knowledge to efficiently choose and make use of technologies currently available. This book fills that knowledge gap by bringing together experts from technology and clinical fields to cover the topics in depth. - Discusses the application of deep learning in several areas of healthcare, including clinical trials, telemedicine and health records management - Brings together experts in the intersection of deep learning, medicine, healthcare and programming to cover topics in an interdisciplinary way - Uncovers the stakes and possibilities involved in realizing personalized healthcare services through efficient and effective deep learning technologies

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Yes, you can access Deep Learning in Personalized Healthcare and Decision Support by Harish Garg,Jyotir Moy Chatterjee in PDF and/or ePUB format, as well as other popular books in Sciences biologiques & Bio-informatique. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2023
Print ISBN
9780443194139
eBook ISBN
9780443194146
Topic
Sciences biologiques
Subtopic
Bio-informatique

Table of contents

  1. Deep Learning in Personalized Healthcare and Decision Support
  2. Chapter 1 The future of health diagnosis and treatment: an exploration of deep learning frameworks and innovative applications
  3. Chapter 2 Fermatean fuzzy approach of diseases diagnosis based on new correlation coefficient operators
  4. Chapter 3 Application of Deep-Q learning in personalized health care Internet of Things ecosystem
  5. Chapter 4 Dia-Glass: a calorie-calculating spectacles for diabetic patients using augmented reality and faster R-CNN
  6. Chapter 5 Synthetic medical image augmentation: a GAN-based approach for melanoma skin lesion classification with deep learning
  7. Chapter 6 Artificial intelligence representation model for drug–target interaction with contemporary knowledge and development
  8. Chapter 7 Review of fog and edge computing–based smart health care system using deep learning approaches
  9. Chapter 8 Deep learning in healthcare: opportunities, threats, and challenges in a green smart environment solution for smart buildings and green cities—Towards combating COVID-19
  10. Chapter 9 Hybrid and automated segmentation algorithm for malignant melanoma using chain codes and active contours
  11. Chapter 10 Development of a predictive model for classifying colorectal cancer using principal component analysis
  12. Chapter 11 Using deep learning via long-short-term memory model prediction of COVID-19 situation in India
  13. Chapter 12 Post-COVID-19 Indian healthcare system: Challenges and solutions
  14. Chapter 13 SWOT Perspective of the Internet of Healthcare Things
  15. Chapter 14 Deep learning for clinical decision-making and improved healthcare outcome
  16. Chapter 15 Development of a no-regret deep learning framework for efficient clinical decision-making
  17. Chapter 16 Symptom-based diagnosis of diseases for primary health check-ups using biomedical text mining
  18. Chapter 17 “Deep learning” for healthcare: Opportunities, threats, and challenges
  19. Chapter 18 Deep learning IoT in medical and healthcare
  20. Chapter 19 Deep learning in drug discovery
  21. Chapter 20 Avant-garde techniques in machine for detecting financial fraud in healthcare
  22. Chapter 21 Predicting mental health using social media: A roadmap for future development
  23. Chapter 22 Applied picture fuzzy sets with its picture fuzzy database for identification of patients in a hospital
  24. Chapter 23 A deep learning framework for surgery action detection
  25. Chapter 24 Understanding of healthcare problems and solutions using deep learning
  26. Chapter 25 Deep convolution classification model-based COVID-19 chest CT image classification
  27. Chapter 26 Internet of Medical Things in curbing pandemics
  28. Index