Healthcare Recommender Systems
portes grátis
Healthcare Recommender Systems
Techniques and Recent Developments
Debayle, Johan; Jain, Deepak Kumar; Singh, Simar Preet
Springer International Publishing AG
04/2025
389
Dura
9783031800559
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
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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pattern recognition;feature extraction;large-Scale systems;system-of-systems;modeling and analysis of complex systems;fault-tolerance;user-cases for control in Healthcare Recommender Systems;Techniques in healthcare
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
