<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <title>Artificial Intelligence for Internet of Things (IoT) and Health Systems Operability</title>
    <subTitle>AI for IoT and Health Systems</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Souri, Alireza.</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">edt</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">http://id.loc.gov/vocabulary/relators/edt</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Bendak, Salaheddine.</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">edt</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">http://id.loc.gov/vocabulary/relators/edt</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>SpringerLink (Online service)</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">sz</placeTerm>
    </place>
    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">electronic</form>
    <form authority="gmd">electronic resource</form>
    <reformattingQuality>access</reformattingQuality>
    <extent>X, 191 p. 103 illus., 90 illus. in color. online resource.</extent>
  </physicalDescription>
  <abstract>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. .</abstract>
  <tableOfContents>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.</tableOfContents>
  <note type="statement of responsibility">edited by Alireza Souri, Salaheddine Bendak.</note>
  <subject authority="lcsh">
    <topic>Computational intelligence</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Artificial intelligence</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Medical sciences</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Biomedical engineering</topic>
  </subject>
  <subject>
    <topic>Computational Intelligence</topic>
  </subject>
  <subject>
    <topic>Artificial Intelligence</topic>
  </subject>
  <subject>
    <topic>Health Sciences</topic>
  </subject>
  <subject>
    <topic>Biomedical Engineering and Bioengineering</topic>
  </subject>
  <classification authority="lcc">Q342</classification>
  <relatedItem type="host">
    <titleInfo>
      <title>Springer Nature eBook</title>
    </titleInfo>
  </relatedItem>
  <relatedItem type="otherFormat" displayLabel="Printed edition:"/>
  <relatedItem type="otherFormat" displayLabel="Printed edition:"/>
  <relatedItem type="otherFormat" displayLabel="Printed edition:"/>
  <relatedItem type="series">
    <titleInfo>
      <title>Engineering Cyber-Physical Systems and Critical Infrastructures, 8</title>
    </titleInfo>
  </relatedItem>
  <identifier type="isbn">9783031527876</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-3-031-52787-6</identifier>
  <location>
    <url>https://doi.org/10.1007/978-3-031-52787-6</url>
  </location>
  <recordInfo>
    <recordCreationDate encoding="marc">240131</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251030111410.0</recordChangeDate>
    <recordIdentifier source="DE-He213">978-3-031-52787-6</recordIdentifier>
  </recordInfo>
</mods>
