Social Determinants Trends in Cognitive Analysis of Healthcare Analytics Using Artificial Intelligence / Vijayalakshmi Kakulapati, editor.

Format:

Book

Contributor:

Kakulapati, Vijayalakshmi, editor.

Series:

Research methodology and data analysis.

Research Methodology and Data Analysis Series

Language:

English

Subjects (All):

Artificial intelligence.

Physical Description:

1 online resource (508 pages)

Edition:

First edition.

Place of Publication:

New York : Nova Science Publishers, Inc., [2024]

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.

Contents:

Intro

Contents

Preface

Definitions

About the Pandemic

About Social Determinants of Health (SDoH)

Structure of the Book

Chapter 1

Introduction of Social Determinants of Cognitive Factors

Abstract

1. Introduction

2. Background

3. Existing Works

4. About Social Déterminants of COVID-19

5. Impact of Cognitive Factors

5.1. Major Cognitive Effects of COVID [68]

5.1.1. COVID's Profound Mental Impacts

5.2. Cognitive Consequences of Chronic Contamination

6. Discussion

Conclusion

Future Scope

References

Chapter 2

Effects of Economic Stability during Epidemics

2. Background Study

3. Understanding Economic Stability

4. The Impact of Epidemics on Economies

5. Economic Stability as a Mitigating Factor during Epidemics

6. India: A Case Study in Economic Stability during COVID-19

7. Government Interventions and Economic Resilience

8. Preparing for Future Epidemics

Chapter 3

Data Analysis of Quality of Education and Cognitive Behavior

3. Literature Survey

4. Methodology

4.1. Data Collection Procedure

4.2. Data analysis process

4.2.1. Responses to Teaching and Learning-Based Questions

4.2.2. Responses to Institution and Technology-Based Questions

4.2.3. Responses of Students' Preference (Online Mode or Physical Mode)

4.3. Architecture Diagram of Data Analysis

5. Implementation Analysis

5.1. Descriptive Statistics

5.2. Correlation Analysis

6. Results

6.1. Teaching and Learning Process during the Pandemic Situation

6.2. Technology Support and Institution Support during the Pandemic Situation

6.3. Students' Preference for Online and Physical Mode Classes

7. Discussion

Future Enhancement

References.

Chapter 4

Accessibility Analysis to Healthcare Facilities

1.1. Research Purposes

1.2. Methodology

2. Access to Healthcare Facilities

2.1. Definition of Availability

2.2. Significance of Openness

2.3. Relationship with Healthcare Utilization Rates

2.4. Components Affecting Openness

2.4.1. Physical Components

2.4.2. Topographical Components

2.4.3. Social Components

2.4.4. Financial Components

3. Methodologies for Accessibility Analysis

3.1. Geographic Information Systems (GIS)

3.2. Travel Time and Distance Analysis

3.3. Socioeconomic and Demographic Factors

3.4. Health Facility Surveys and Inventories

4. Case Studies of Healthcare ACC

4.1. Case Study 1: Urban Accessibility Analysis

4.2. Case Study 2: Rural Accessibility Analysis

4.3. Case Study 3: Accessibility Analysis in Underserved Communities

5. Challenges and Limitations

5.1. Data Availability and Quality

5.2. Methodological Limitations

5.3. Policy and Implementation Challenges

6. Strategies to Improve Accessibility

6.1. Infrastructure and Facility Planning

6.2. Transport and Connectivity

6.3. Community Engagement and Outreach

6.4. Policy and Regulatory Measures

7. Economic Considerations and Cost-Effectiveness

7.1. Economic Burden of Inaccessibility

7.2. Return on Investment (ROI) of Accessibility Initiatives

7.3. Beyond Healthcare Costs: Social and Economic Gains

7.4. Inclusive Healthcare Policies and Fiscal Responsibility

8. Enhancing Healthcare Access Strategies and Factors

8.1. Health Information Systems and Digital Health Solutions

8.2. Health Literacy and Patient Empowerment

8.3. Funding and Resource Allocation

8.4. Public-Private Partnerships

8.5. Addressing Language Barriers

8.6. Community Health Workers and Peer Educators.

8.7. Evaluating Long-Term Impact

8.8. Global Health Diplomacy and Cooperation

8.9. Advocacy and Grassroots Movements

8.10. Adaptation to Technological Advancements

8.11. Empirical Evidence for Decision-Making

8.12. Sustainable Development Goals (SDGs) Alignment

8.13. Continuous Learning and Knowledge Exchange

Enhanced Data Collection and Integration

Advanced Analytical Techniques

Longitudinal Studies and Impact Assessment

Chapter 5

Intelligent Methodologies to Measure Neighborhood Situations in Public Health: COVID-19

1.1. Motivation of the Chapter

1.2. Challenges of Chapter

1.3. Significance of Chapter

2. Background Work

3. About Intelligent Techniques

4.1. Google Map Analysis

4.2. Web Camera

4.3. Mega Resourcing

4.4. Social Media

4.5. Unmanned Aerial Vehicles - Drones

4.6. Lifetime Measurement

Chapter 6

Deep Learning Model of Social and Community Impact during Epidemics

3. Related Works

4. About Social and Community Impact during Epidemic

5. Methodology

5.1. DNN (Deep Neural Network)

5.1.1. Input Layer

5.1.2. Hidden Layer

5.1.3. Output Layer

5.2. LIME

6. Implémentation Analysis

6.1. Date Range Generation

6.2. Country Definition

6.3. COVID-19 Data Generation

6.4. Data Integration

6.5. Feature Selection

6.5.1. COVID-19 Data Features

6.5.2. Social Determinants of Health Features

6.5.3. Target Variable

6.6. Model Compilation

6.7. Loss Function

6.8. Data Splitting

6.9. Model Training

6.10. Model Evaluation

6.11. Predicted Values

6.12. Loss Function Plot.

6.13. Predicted vs. Actual Values Plot

6.14. Feature Importance Plot

Chapter 7

Discrimination and Global Unemployment during Pandemic

4. About Different Discrimination of Unemployment in COVID-19

4.1. Discrimination in Employment

4.2. Inequality Based on Aging

4.3. Racial Bias

4.4. Inequality due to Impairment

4.5. Evidence Demonstrating Recruitment Discrimination

4.6. Wages Discrimination

5. Different Organizations Effect of Unemployment

Chapter 8

Income and Social Status

1.1. Motivation

1.2. Challenges

3. Related Work

4. About Income and Social Status

4.1. Significance of Income and Social Status in Shaping Individuals' Lives

4.2. Importance of Understanding the Dynamics between Income and Social Status

4.3. Dimensions of Income and Social Status

4.3.1. Components of Social Status: Education, Occupation, Cultural Capital, and More

4.3.2. Interplay between Income and Other Dimensions of Social Status

4.4. Impact on Individual Well-Being

4.4.1. Influence of Income on Access to Neccessities and Quality of Life

4.4.2. Social Status and Its Effects on Personal Identity and Self-Perception

4.4.3. How Income and Social Status Intersect with Other Social Categories

4.5. Social Inequality and Social Mobility

4.5.1. Exploring Income Inequality and Its Consequences for Social Hierarchies

4.5.2. Social Mobility: Factors Influencing Upward or Downward Movement in Social Status

4.5.3. Challenges in Achieving Social Mobility and Breaking the Cycle of Inequality.

4.6. Complexities and Challenges in Studying Income and Social Status

4.6.1. Multidimensionality and Contextual Variations

4.6.2. Measurement Limitations and Data Challenges

4.6.3. Causality and Reverse Causation Issues

4.7. Policy Implications and Interventions

4.7.1. Examining Policies Addressing Income Inequality and Social Mobility

4.7.2. Promoting Equal Opportunities and Reducing Barriers to Upward Mobility

4.7.3. Potential Interventions to Enhance Social Equity and Inclusive Growth

4.7.4. Emerging Trends and technological Advancements Shaping Income and Social Status

5. Applications

5.1. Understanding Income and Social Status

5.2. Causes and Consequences of Income Inequality

5.3. Barriers to Upward Mobility

5.4. Promoting Equality and Social Mobility

5.5. Impact of Technological Advancements

5.6. Intersectionality and Inclusive Approaches

6. Methodology

7. Implementation Analysis

7.1. Case Study 1: The Minimum Wage Increase in Seattle, United States [30]

7.2. Case Study 2: Conditional Cash Transfer Programs in Brazil

7.3. Case Study 3: The National Skill Development Mission in India

8. Discussion

Future Enhancements

Chapter 9

Insights of Employment and Working Conditions in Pandemic - Applications and Insights

1.1. The Motivation of the Chapter

1.2. Objectives

1.3. Major Findings

1.4. The Impact of the Pandemic on Employment

1.5. Adaptation and Innovation in the Work Environment

1.6. Working Conditions of Employment in the Pandemic

1.7. Ensuring Working Conditions and Health Safety

1.8. Socioeconomic Implications and Policy Responses

2. Background of the Study

2.1. Impact on Employment

3. About Insights of Employment and Working Conditions

3.1. Impact on Employment.

3.2. Remote Work and Digital Transformation.

Notes:

Includes bibliographical references and index.

Description based on publisher supplied metadata and other sources.

Description based on print version record.

Other Format:

Print version: Kakulapati, Vijayalakshmi Social Determinants Trends in Cognitive Analysis of Healthcare Analytics Using Artificial Intelligence

ISBN:

9798891138483