Souri A.,Bendak S. (eds.) Artificial Intelligence for Internet of Things (IoT) and Health Systems Operability: AI for IoT and Health Systems

Springer, 2024. — 200 p.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.Preface
Organization
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 Using Attention Mechanism Modules and Weight Uncertainty in Bayesian Neural Networks
A Stochastic Gradient Support Vector Optimization Algorithm for Predicting Chronic Kidney 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
Author Index