Skip to main content
SpringerLink
Log in

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

AI for IoT and Health Systems

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Alireza Souri

    1. Department of Software Engineering, Haliç University, Istanbul, Türkiye

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Salaheddine Bendak

    1. Department of Industrial Engineering, Haliç University, Istanbul, Türkiye

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Proceedings of the 2nd International Conference on IoT and Health
  • Presents recent research on Artificial Intelligence for Internet of Things and Health Systems Operability
  • Written by experts in the field

Part of the book series: Engineering Cyber-Physical Systems and Critical Infrastructures (ECPSCI, volume 8)

Included in the following conference series:

Conference proceedings info: IoTHIC 2023.

  • 877 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (14 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Drug-Drug Interaction, Interaction Type and Resulting Severity Forecasting by Machine Learning-Based Approaches

    • Muhammed Erkan Karabekmez, Arafat Salih Aydıner, Ahmet Şener
    Pages 1-11

  3. Hybrid Network Protocol Information Collection and Dissemination in IoT Healthcare

    • Asaad Adil Shareef, Hasan Abdulkader
    Pages 12-27

  4. CNN-Based Model for Skin Diseases Classification

    • Asmaa S. Zamil. Altimimi, Hasan Abdulkader
    Pages 28-38

  5. Using Explainable Artificial Intelligence and Knowledge Graph to Explain Sentiment Analysis of COVID-19 Post on the Twitter

    • Yi-Wei Lai, Mu-Yen Chen
    Pages 39-49

  6. An IoT-Based Telemedicine System for the Rural People of Bangladesh

    • Raqibul Hasan, Md. Tamzidul Islam, Md. Mubayer Rahman
    Pages 50-58

  7. Comparison of Predicting Regional Mortalities Using Machine Learning Models

    • Oğuzhan Çağlar, Figen Özen
    Pages 59-72

  8. Benign and Malignant Cancer Prediction Using Deep Learning and Generating Pathologist Diagnostic Report

    • Kaliappan Madasamy, Vimal Shanmuganathan, Nithish, Vishakan, Vijayabhaskar, Muthukumar et al.
    Pages 73-87

  9. An Integrated Deep Learning Approach for Computer-Aided Diagnosis of Diverse Diabetic Retinopathy Grading

    • Şükran Yaman Atcı
    Pages 88-103

  10. Covid-19 Detection Based on Chest X-ray Images Using Attention Mechanism Modules and Weight Uncertainty in Bayesian Neural Networks

    • Huan Chen, Jia‐You Hsieh, Hsin-Yao Hsu, Yi-Feng Chang
    Pages 104-115

  11. A Stochastic Gradient Support Vector Optimization Algorithm for Predicting Chronic Kidney Diseases

    • Monire Norouzi, Elif Altintas Kahriman
    Pages 116-126

  12. Intelligent Information Systems in Healthcare Sector: Review Study

    • Ayman Akila, Mohamed Elhoseny, Mohamed Abdalla Nour
    Pages 127-144

  13. Design of a Blockchain-Based Patient Record Tracking System

    • Huwida E. Said, Nedaa B. Al Barghuthi, Sulafa M. Badi, Shini Girija
    Pages 145-161

  14. IoT Networks and Online Image Processing in IMU-Based Gait Analysis

    • Bora Ayvaz, Hakan İlikçi, Fuat Bilgili, Ali Fuat Ergenç
    Pages 162-177

  15. Reducing Patient Waiting Time in Ultrasonography Using Simulation and IoT Application

    • İlkay Saraçoğlu, Çağrı Serdar Elgörmüş
    Pages 178-189

  16. Back Matter

    Pages 191-191
    Download chapter PDF
Back to top

Other volumes

  1. Artificial Intelligence for Internet of Things (IoT) and Health Systems Operability

Keywords

About this book

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.  

Editors and Affiliations

  • Department of Software Engineering, Haliç University, Istanbul, Türkiye

    Alireza Souri

  • Department of Industrial Engineering, Haliç University, Istanbul, Türkiye

    Salaheddine Bendak

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation