| Description |
1 online resource (x, 191 pages) : illustrations (some color) |
| Series |
Engineering cyber-physical systems and critical infrastructures, 2731-5010 ; 8 |
|
Engineering cyber-physical systems and critical infrastructures, 2731-5010 8
|
| 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 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 |
| Summary |
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 |
| Notes |
Includes author index |
|
Online resource; title from PDF title page (SpringerLink, viewed February 12, 2024) |
| Subject |
Artificial intelligence -- Medical applications -- Congresses
|
|
Internet of things -- Congresses
|
| Genre/Form |
Electronic books
|
| Form |
Electronic book
|
| Author |
Souri, Alireza, editor.
|
|
Bendak, Salaheddine, editor.
|
|
IoTHIC (Conference) (2023)
|
| ISBN |
9783031527876 |
|
3031527879 |
|
