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Healthcare Recommender Systems Techniques and Recent Developments /

The book explores the complete system perspective, underlying theories, modelling, and the applications of pattern recognition in Healthcare Recommender System. Considering the interest of researchers and academicians, editors here aim to present this book in a multidimensional perspective that will...

Повний опис

Збережено в:
Бібліографічні деталі
Співавтор: SpringerLink (Online service)
Інші автори: Singh, Simar Preet (Редактор), Jain, Deepak Kumar (Редактор), Debayle, Johan (Редактор)
Формат: Електронний ресурс eКнига
Мова:Англійська
Опубліковано: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Редагування:1st ed. 2025.
Предмети:
Medical informatics.
Pattern recognition systems.
Artificial intelligence.
Health Informatics.
Automated Pattern Recognition.
Artificial Intelligence.
Онлайн доступ:https://doi.org/10.1007/978-3-031-80056-6
Теги: Додати тег
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Зміст:
  • Chapter 1: Revolutionizing Healthcare through Blockchain and AI: A Secure Data Sharing Framework
  • Chapter 2: Application Scenarios of Recommender System in Healthcare
  • Chapter 3: Deep Learning Model for Histopathological Image Classification of Renal Biopsies in Diabetic Kidney Disease: A Study using Whole Slide Imaging
  • Chapter 4: Personalized Healthcare in the Digital Age: Advancements and Applications in Healthcare Recommender Systems.-Chapter 5: Recommendation of Nourishment for Glycemic Patients by applying Improved K means (IKM) and Krill Herd Optimization (KHO)
  • Chapter 6: Classification And Segmentation In Brain Tumor Detection
  • Chapter 7: Fine-tuned Convolutional Neural Network for Alzheimers Detection and Classification
  • Chapter 8: Knee Osteoarthritis Severity Prediction using CNN Models and Web Application
  • Chapter 9: Parkinson's Disease Prediction Using Artificial Neural Network
  • Chapter 10: Securing the Cloud: Strategies for Protecting Sensitive Patient Data in Cloud-Based Healthcare Recommender Systems
  • Chapter 11: Blockchain Based Security and Privacy in Digital Healthcare Recommender Systems
  • Chapter 12: The Aftermath of Data Breaches in Mission-critical Healthcare Recommender Systems
  • Chapter 13: Healthy Food Recommender Systems
  • Chapter 15: Deep Learning with VGG-19, Inception V3 Ensembling Learning Techniques for Brain Tumor Analysis
  • Chapter 16: TPKD - Ensemble Bagged Trees for Identifying Therapeutic Plants for Kidney Diseases
  • Chapter 17: B2ET - Prediction of medicinal plants effective in treating Amenorrhea using Bagging-Based Ensemble Trees
  • Chapter 18: Predicting the Happiness Index of the Teachers Fraternity Using a Fuzzy Model
  • Chapter 19: Deep Learning for the Detection of Cardiovascular Disease: A Review
  • Chapter 20: Smart Manufacturing for Better Healthcare: Integrating 3D Printing, Robotics, and IoT
  • Chapter 21: An Intelligent Approach to Predict Agricultural Productivity using Artificial Neural Network Framework
  • Chapter 22: Automated Sanitizer-Based Mosquito Repellent Led - Smart City Innovation
  • Chapter 23: Sustainable Biopolymers: Applications and Case Studies in Pharmaceuticals, Medical, and Food Industries.

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