Artificial Intelligence for Internet of Things (IoT) and Health Systems Operability - AI for IoT and Health Systems

IoTHIC-2023 is a multidisciplinary, peer-reviewed international conference on Internet of Things (IoT) and healthcare systems with Artificial Intelligence (AI) techniques such as data mining, machine learning, image processing, and meta-heuristic algorithms. The AI-based techniques are applied on many fields of healthcare systems, including predicting and detecting diseases in hospitals, clinics, smart health monitoring systems, surgery, medical services, and etc.  

Inhaltsverzeichnis

Drug-Drug Interaction, Interaction Type And Resulting Severity Forecasting By Machine Learning-Based Approaches.- Hybrid Network Protocol Information Collection and Dissemination in IoT Healthcare.- CNN-Based Model for Skin Diseases Classification.- Using explainable artificial intelligence and knowledge graph to explain sentiment analysis of COVID-19 post on the Twitter.- An IoT-based Telemedicine System for the Rural People of Bangladesh.- Comparison of Predicting Regional Mortalities Using Machine Learning Models.- Benign and Malignant Cancer Prediction using Deep Learning and Generating Pathologist Diagnostic Report.- An Integrated Deep Learning Approach for Computer-Aided Diagnosis of Diverse Diabetic Retinopathy Grading.- Covid-19 Detection based on Chest X-ray images us-ing Attention Mechanism Modules and Weight Uncertainty in Bayesian Neural Networks.- A Stochastic Gradient Support Vector Optimization Algorithm for Predicting ChronicKidney Diseases.- Intelligent Information Systems in Healthcare sector: Review Study.- Design of a Blockchain-based Patient Record Tracking System.- IoT Networks and Online Image Processing in IMU-based Gait Analysis.- Reducing Patient Waiting Time in Ultrasonography Using Simulation and IoT Application

Produktdetails

• Mitarbeit: Bendak (Herausgeber), Salaheddine Bendak (Herausgeber), Alireza Souri (Herausgeber)
• Verlag: Springer, Berlin
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 14.02.2025
• EAN: 9783031527890
• ISBN: 978-3-0-3152789-0
• Seiten: 191
• Abmessung: 155 mm x 11 mm x 235 mm
• Gewicht: 318 g
• Illustration: X, 191 p. 103 illus., 90 illus. in color.
• Serie: Engineering Cyber-Physical Systems and Critical Infrastructures
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Technik > Allgemeines, Lexika; Medizin, allgemein, machine learning, Artificial Intelligence, Biomedizinische Technik, Cybersecurity, Internet of Things (IoT), Health Sciences, Computational Intelligence, Biomedical Engineering and Bioengineering, healthcare systems, Safety and Privacy, Medical systems