BIBFRAME Work

Title

Social determinants trends in cognitive analysis of healthcare analytics using Artificial Intelligence

Type

• Text
• Monograph

Contribution

• Kakulapati, Vijayalakshmi (editor)

Subject

• Medical informatics (LCSH)
• Health--Social aspects (LCSH)
• Social medicine--Data processing (LCSH)
• Artificial intelligence--Medical applications (LCSH)

Language

• English

Illustrative Content

• illustrations

Classification

• DDC: 610.285 (Assigner: dlc)
• LCC: R859.7.A78 S635 2024 (Assigner: dlc) (Status: used by assigner)

Content

• text

Supplementary content

• index
• bibliography

Summary

"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. 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"-- Provided by publisher.

Authorized Access Point

Social determinants trends in cognitive analysis of healthcare analytics using Artificial Intelligence

Admin Metadata

• Date: 2026-09-11T20:18:55.673054+00:00
• Agent: cbc
• Status: c
• Derived from: 23701396

Admin Metadata

• Date: 2026-09-11
• Cataloger id: Unknown
• Description level: http://id.loc.gov/ontologies/bibframe-2-6-0/
• Description language: eng
• Description authentication: pcc