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.  

List of contents

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

Product details

• Assisted by: Bendak (Editor), Salaheddine Bendak (Editor), Alireza Souri (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 14.02.2025
• EAN: 9783031527890
• ISBN: 978-3-0-3152789-0
• No. of pages: 191
• Dimensions: 155 mm x 11 mm x 235 mm
• Weight: 318 g
• Illustrations: X, 191 p. 103 illus., 90 illus. in color.
• Series: Engineering Cyber-Physical Systems and Critical Infrastructures
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; 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