Advanced Computing Solutions for Healthcare.

Format:

Book

Author/Creator:

Rajagopal, Sivakumar.

Contributor:

P., Prakasam.

E., Konguvel.

Language:

English

Physical Description:

1 online resource (403 pages)

Edition:

1st ed.

Place of Publication:

Sharjah : Bentham Science Publishers, 2025.

Summary:

Advanced Computing Solutions for Healthcare explores the transformative integration of advanced computing technologies into healthcare systems, emphasizing innovation in patient care, diagnostics, and health monitoring. Spanning 22 chapters, it covers topics such as artificial intelligence, machine learning, IoT, data science, and wearable technologies. The book bridges theoretical concepts and practical applications, featuring neuromorphic computing, IoT for healthcare, AI-driven diagnostics, 5G in medicine, augmented reality, and mathematical modeling. It highlights real-world case studies and cutting-edge methodologies, including FPGA-based accelerators, deep learning models for disease classification, and assistive technologies for inclusivity.

Contents:

Intro

Title

Copyright

End User License Agreement

Contents

Foreword I

Foreword II

Preface

List of Contributors

A Review of Biological Neurons Versus Artificial Neuron Models for Neuromorphic Computing Applications

Keerthi Nalliboyina1 and Sakthivel Ramachandran1,*

INTRODUCTION

BIOLOGICAL NEURON ANATOMY AND HISTOLOGY

Spiking Neuron Model

Overview of Neuron Models

Applications of Spiking Neurons

COMPARTMENTAL NEURON MODELS

Applications

Bio-medical Applications

Neuromorphic APIs and Libraries

CONCLUSION AND FUTURE SCOPE

REFERENCES

A Review on Data Mining Techniques and Their Applications in Medicine

Abrar Abu Hamdia1,*

MEDICAL DATA

Clinical Data

Other Types of Medical Data [1, 2]

DATA MINING

Definition and Types

Descriptive Methods [1, 2, 6]

Prediction Methods

Data Mining Methods

Supervised Learning

Unsupervised Methods

Applications of Data Mining in Medicine [1, 2, 6]

Disease Diagnosis and Prediction

Personalized Medicine

Pharmacology and Pharmacovigilance

Traditional Chinese Medicine (TCM)

Healthcare System

Epidemiology

PRIVACY OF MEDICAL DATA AND FRAUD DETECTION [1]

LANGUAGE BARRIER [1]

CONCLUSION

A Comprehensive Study on Data-driven Decision Support System and its Application in Healthcare

Abhishek Liju Liju1 and Chintan Singh1,*

Decision Support System

Components of the Decision Support System

Classification of Decision Support Systems

Characteristics of the Decision Support System

A DETAILED OVERVIEW OF DD-DSS

History of DD-DSS

Features and Benefits of DD-DSS

Subcategories of the Data-Driven Decision Support System

Data Warehouses

OLAP

Spatial DSS

EIS

APPLICATION OF DD-DSS IN HEALTHCARE

Descriptive Analytics.

Diagnostic Analytics

Predictive Analytics

Prescriptive Analytics

LIMITATIONS

Review on FPGA-based Hardware Accelerators of CNN for Healthcare Applications

Kurapati Hemalatha1 and Sakthivel Ramachandran1,*

CNN ARCHITECTURES FOR OBJECT DETECTION

AlexNet

B. LeNet

ZefNet

VGG

GoogleNet

CNN ACCELERATORS TOWARD HEALTHCARE APPLICATIONS

CMOS Based Accelerators

FPGA Based Accelerators

Memristor Based Accelerators

PROPOSED CNN ARCHITECTURE

EVALUATION METRICS

Precision

Recall

Error rate

Accuracy

Intersection over union (IOU)

F1 Score:

APPLICATIONS AND FUTURE DIRECTIONS

Advancements in Smart Sensor Technology for Enhanced Health Monitoring in Smart Watches

G. Jeeva1,*, P. Mahalakshmi1 and S. Thenmalar1

RELATED WORK

COMPARATIVE ANALYSIS OF BIOMETRIC SENSORS AND DESIGNS

Data Science and Data Analytics for Healthcare: Transforming Patient Care Through a Design Thinking Approach to Data Science

M. Kavibharathi1,*, J. Sumitha1 and S. Muthu Vijaya Pandian2

DATA SCIENCE IN HEALTHCARE

Importance of Data in Healthcare

Ethical Considerations

DATA COLLECTION AND PRE-PROCESSING

Data Sources

Data Quality

Data Integration

EXPLORATORY DATA ANALYSIS IN HEALTHCARE

Descriptive Statistics

Data Visualization

PREDICTIVE MODELING IN HEALTHCARE

Model Evaluation

CLUSTERING AND UNSUPERVISED LEARNING

Unsupervised Learning

Anomaly Detection

TEXT ANALYTICS AND NLP IN HEALTHCARE

Clinical Notes

Sentiment Analysis

DATA VISUALIZATION AND DASHBOARDS

Dashboard Design

Real-time Monitoring

FUTURE TRENDS IN HEALTHCARE ANALYTICS

AI Advancements

Precision Medicine

Telemedicine.

ETHICAL AND REGULATORY CONSIDERATIONS

Data Privacy

Informed Consent

Regulatory Compliance

The Internet of Things for Healthcare: uses, Particular Cases, and Difficulties

K.P. Parthiban1, S. Muthu Vijaya Pandian2,*, M. Muthukrishnaveni3 and M. Kavibharathi4

IoT and Healthcare

Applications of IoT in Healthcare

Selected Cases of Using IoT in Healthcare

DISCUSSION

The 5G Revolution in Healthcare: Shaping the Future of Medicine

Natraj N.A.1,*, Prasad J.2, Bhuvaneswari M.3 and Suriya K.4

The Core Concepts Behind 5G

Millimetre Wave (mmWave) Spectrum: The Key to Increasing Transmission Speed

The capacity multiplier is known as Massive MIMO

The Reduction of Latency Is a Game-Changer

The Revolutionary Effects that 5G Will Have on Different Industries

The Rise of Digital Technology in Healthcare

Transportation's Quantum Leap

Productivity Improvements in the Manufacturing Industry

Reconceptualizing Entertainment

5G TECHNOLOGY IN HEALTHCARE

Telemedicine and Remote Consultations Revolutionized by 5G: Bridging Healthcare Gaps

Virtual Doctor Visits in High Definition

Brighter and More Reachable Future for All

Remote Patient Monitoring Revolutionized by 5G: A Proactive Approach to Healthcare

Monitoring in Real Time Utilising Wearable Technology

Early Detection and Preventative Measures: A Proactive Approach

Improving the Outcomes of Patient Care While Cutting Costs of Healthcare

Emergency Medical Response using 5G

5G Unleashes Augmented and Virtual Reality (AR/VR) in Medical Training

Immersive Surgical Training using AR and VR in the Healthcare Industry

Lessons on Anatomy That are Interactive

Real-Time Cooperation Across Borders

5G for Data Intensive Medical Research in Healthcare.

The Benefits of Conducting Medical Studies That Rely Heavily on Data

Collaboration on a Global Scale and Analysis of Data in Real-time

Facilitating the Running of Complicated Simulations

Innovative Steps Towards Advancing Healthcare

CHALLENGES AND CONSIDERATIONS OF 5G IN HEALTHCARE INDUSTRY

Network Infrastructure and Accessibility

The Significance of Network Infrastructure

The Deployment of Small Cells

Enhancing Accessibility through Broadened Coverage

Maximising the Capabilities of 5G Technology

5G-Connected Healthcare Security and Privacy Issues

Critical Safeguard: Encryption

Controlling Access and Authentication

Storage Data Encryption

Equitable Access to 5G Technology in Healthcare: Bridging the Divide

The Healthcare Digital Divide

Bridging 5G Gaps

The Way Forward

THE FUTURE OF 5G IN HEALTHCARE: UNLEASHING THE POWER OF CONVERGENCE

Real-time Healthcare Delivery via Remote Devices

Diagnostics and Decision Support Powered by Artificial Intelligence

Computing in the Periphery for Real-Time Insights

Individualised Medical Treatment and the Research and Development of New Drugs

Improvements in Research and Collaborative Efforts

Generative Adversarial Networks in Medical Imaging: Recent Advances and Future Prospects

Harshit Poddar1 and Sivakumar Rajagopal2,*

RECENT DEVELOPMENTS

FUTURE PROSPECTS

AI Revolutionizing Healthcare: Current State and Future Prospects

Poornima N.V.1 and Gunavathi C.2,*

OPPORTUNITIES

Diagnostic and Medical Imaging

Healthcare Administration and Operations

Specialized Medicine

Disease Forecasting and Preventive Measures

Monitoring from a distance and telemedicine

Natural Language Processing (NLP).

Integrity and Adherence

Psychological Health and Well-Being

Robotics in Operation

Research and Insights in Healthcare

Education and Training in Healthcare

Patient Engagement and Behavior Modification

Healthcare Abuse Detection

Pharmaceutical Toxic Event Tracking

Support for the Aging Society

Medical Data Security

Logistics and Inventory Management

The Hospital Room Triage

Electronic Health Records (EHRs) with AI Enhancements

Medical Bots for Preliminary Consultations

Assessments of Exotic Disorders

Restoration and Physiological Therapies

Virtual Medical Assistance

Treatment for Behavioral Health Issues and Drug Abuse Disorders

Monitoring for Environmental Health

Healthcare Equity and Accessibility

Genomic Modeling and Bioinformatics

RISKS / DISADVANTAGES

Patient Harm Brought on By AI Mistakes

Medical AI Tools being Misused

Bias in AI and the Maintenance of Existing Injustice

Lack of Transparency

Privacy and Security Concerns

Gaps in Accountability

Implementation Challenges

ETHICAL AND SOCIAL CHALLENGES / ISSUES WHEN USING AI

MORAL AND SOCIAL ISSUES

TRUSTWORTHY

FUTURE RESEARCH DIRECTIONS

Application of Image Processing Methods in the Healthcare Sector

Chilakalapudi Malathi1 and Sheela Jayachandran1,*

Image Formation

Acquisition

Digitization

Image Visualization

Diagnostic Imaging

Surgical Planning

Treatment Monitoring

Education and Training

Videoconferencing

Patient Education

Innovation and Research

Less-invasive Operations

Radiotherapy Treatment

Dental and Orthopaedic Functions

Image Analysis

Disease Treatment

Tumour Identification and Quantification

Risk Assessment

Treatment Planning

Illness Progress Monitoring

Pattern Recognition of Achievement.

Quality Control.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Rajagopal, Sivakumar Advanced Computing Solutions for Healthcare

ISBN:

9789815274134

OCLC:

1528362137