View in EDS PDF Full Text

Social Determinants Trends in Cognitive Analysis of Healthcare Analytics Using Artificial Intelligence

Saved in:
Bibliographic Details
Title: Social Determinants Trends in Cognitive Analysis of Healthcare Analytics Using Artificial Intelligence
Description: This book addresses the influence of socioeconomic factors on patients in the COVID-19 analysis and recommends appropriate healthcare methods, including AI tools for patient monitoring and physician assistance. Recent research on healthcare systems during pandemics is discussed, as is the use of AI in the field of mental illness. The chapters in this book address the likelihood of successfully using AI in healthcare, with a focus on coronavirus-related concerns and healthcare systems. The chapters also provide examples of how AI has been used to address social determinants and their impact on public issues during a catastrophic epidemic and discuss how this technology may be used to enhance care services and help the healthcare sector adapt to prospective difficulties.
Authors: Vijayalakshmi Kakulapati
Resource Type: eBook.
Subjects: Medical informatics, Artificial intelligence--Medical applications, Social medicine--Data processing, Health--Social aspects
Categories: COMPUTERS / Artificial Intelligence / General
Database: eBook Collection (EBSCOhost)
FullText Links:
  – Type: ebook-pdf
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 3894064
RelevancyScore: 1123
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1122.83581542969
IllustrationInfo
ImageInfo – Size: thumb
  Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$3894064$PDF&s=r
– Size: medium
  Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$3894064$PDF&s=d
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Social Determinants Trends in Cognitive Analysis of Healthcare Analytics Using Artificial Intelligence
– Name: Abstract
  Label: Description
  Group: Ab
  Data: This book addresses the influence of socioeconomic factors on patients in the COVID-19 analysis and recommends appropriate healthcare methods, including AI tools for patient monitoring and physician assistance. Recent research on healthcare systems during pandemics is discussed, as is the use of AI in the field of mental illness. The chapters in this book address the likelihood of successfully using AI in healthcare, with a focus on coronavirus-related concerns and healthcare systems. The chapters also provide examples of how AI has been used to address social determinants and their impact on public issues during a catastrophic epidemic and discuss how this technology may be used to enhance care services and help the healthcare sector adapt to prospective difficulties.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Vijayalakshmi+Kakulapati%22">Vijayalakshmi Kakulapati</searchLink>
– Name: TypePub
  Label: Resource Type
  Group: TypPub
  Data: eBook.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Medical+informatics%22">Medical informatics</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence--Medical+applications%22">Artificial intelligence--Medical applications</searchLink><br /><searchLink fieldCode="DE" term="%22Social+medicine--Data+processing%22">Social medicine--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Health--Social+aspects%22">Health--Social aspects</searchLink>
– Name: SubjectBISAC
  Label: Categories
  Group: Su
  Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Artificial+Intelligence+%2F+General%22">COMPUTERS / Artificial Intelligence / General</searchLink>
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=3894064
RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 610.285
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Medical informatics
        Type: general
      – SubjectFull: Artificial intelligence--Medical applications
        Type: general
      – SubjectFull: Social medicine--Data processing
        Type: general
      – SubjectFull: Health--Social aspects
        Type: general
    Titles:
      – TitleFull: Social Determinants Trends in Cognitive Analysis of Healthcare Analytics Using Artificial Intelligence
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Vijayalakshmi Kakulapati
      – PersonEntity:
          Name:
            NameFull: Vijayalakshmi Kakulapati
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2024
            – D: 09
              M: 10
              Type: profile
              Y: 2024
          Identifiers:
            – Type: isbn-print
              Value: 9798891137745
            – Type: isbn-electronic
              Value: 9798891138483
          Titles:
            – TitleFull: Social Determinants Trends in Cognitive Analysis of Healthcare Analytics Using Artificial Intelligence
              Type: main
ResultId 1