+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

Wellness Management Powered by AI Technologies. Edition No. 1. Machine Learning in Biomedical Science and Healthcare Informatics

  • Book

  • 448 Pages
  • January 2025
  • John Wiley and Sons Ltd
  • ID: 6035970
This book is an essential resource on the impact of AI in medical systems, helping readers stay ahead in the modern era with cutting-edge solutions, knowledge, and real-world case studies.

Wellness Management Powered by AI Technologies explores the intricate ways machine learning and the Internet of Things (IoT) have been woven into the fabric of healthcare solutions. From smart wearable devices tracking vital signs in real time to ML-driven diagnostic tools providing accurate predictions, readers will gain insights into how these technologies continually reshape healthcare.

The book begins by examining the fundamental principles of machine learning and IoT, providing readers with a solid understanding of the underlying concepts. Through clear and concise explanations, readers will grasp the complexities of the algorithms that power predictive analytics, disease detection, and personalized treatment recommendations. In parallel, they will uncover the role of IoT devices in collecting data that fuels these intelligent systems, bridging the gap between patients and practitioners.

In the following chapters, readers will delve into real-world case studies and success stories that illustrate the tangible benefits of this dynamic duo. This book is not merely a technical exposition; it serves as a roadmap for healthcare professionals and anyone invested in the future of healthcare.

Readers will find the book: - Explores how AI is transforming diagnostics, treatments, and healthcare delivery, offering cutting-edge solutions for modern healthcare challenges; - Provides practical knowledge on implementing AI in healthcare settings, enhancing efficiency and patient outcomes; - Offers authoritative insights into current AI trends and future developments in healthcare; - Features real-world case studies and examples showcasing successful AI integrations in various medical fields.

Audience
This book is a valuable resource for researchers, industry professionals, and engineers from diverse fields such as computer science, artificial intelligence, electronics and electrical engineering, healthcare management, and policymakers.

Table of Contents

Preface xv

1 Exploring Functional Modules Using Co-Clustering of Protein Interaction Networks 1
R. Gowri and R. Rathipriya

2 Natural Language Processing in Healthcare: Enhancing Wellbeing through a COVID-19 Case Study 55
Akib Mohi Ud Din Khanday, Salah Bouktif and Ali Ouni

3 Artificial Intelligence Assisted Internet of Medical Things (AIoMTs) in Sustainable Healthcare Ecosystem 75
Wasswa Shafik

4 An Online Platform for Timely Access to Medical Care with the Help of Real-Time Data Analysis 103
Pancham Singh and Mrignainy Kansal

5 A Comprehensive Review of Cardiac Image Analysis for Precise Heart Disease Diagnosis Using Deep Learning Techniques 133
Anuj Gupta, Vikas Kumar and Aryan Nakhale

6 A Hybrid Machine Learning Model for an Efficient Detection of Liver Inflammation 157
Hema Ramachandran and Syedakbar Syed Yusuff

7 Advancements in Parkinson’s Disease Diagnosis through Automated Speech Analysis 173
P. Deepa, Rashmita Khilar and Saumendra Kumar Mohapatra

8 Public Opinion Segmentation on COVID-19 Vaccination and Its Impact on Wellbeing 207
Akib Mohi Ud Din Khanday, Salah Bouktif and K. Nimmi

9 Revolutionizing Healthcare with IoT in Cardiology 231
Aafreen Jan,K. Nimmi and Mohd Anas Wajid

10 Human Biological Analysis Through Fitness Watch Using Deep Learning Algorithm 275
Nilesh Bhaskarrao Bahadure, Ramdas Khomane, Anjali Singh, Anisha Jaiswal, Rashmi Kadu, Rohini Bharne, Bhumika Kosarkar and Sidheswar Routray

11 Decoding Kidney Health: Effectiveness of Machine Learning Techniques in Diagnosis of Chronic Kidney Disease 297
Suhail Rashid Wani, Syed Naseer Ahmad Shah, Roshni Afshan and Asif Adil

12 Integrating Metaheuristics and Machine Learning for Wellbeing Management: Case of COVID-19 313
Safea Matar Al Senani and Salah Bouktif

13 Fusing Sentiment Analysis with Hybrid Collaborative Algorithms for Enhanced Recommender Systems 343
Anindya Nag, Md. Mehedi Hassan, Mohammad Abu Tareq Rony, Biva Das, Riya Sil, Prianka Saha, Pronab Sarker and Anupam Kumar Bairagi

14 The Future of Well-Being: AI-Powered Health Management with Privacy at its Core 363
D. Dhinakaran, S. Edwin Raja, J. Jeno Jasmine, P. Vimal Kumar and R. Ramani

15 Artificial Pancreas: Enhancing Glucose Control and Overall Well-Being 403
Owais Bhat, Syed Tanzeel Rabani, Syed Mohsin Saif, Zubair Jeelani andNawaz Ali Lone

Index 421

Authors

Bharat Bhushan School of Engineering Technology, Sharda University, Greater Noida, India. Akib Khanday United Arab Emirates University, UAE; Samarkand International University of Technology, Samarkand, Uzbekistan. Khursheed Aurangzeb King Saud University, Riyadh, Kingdom of Saudi Arabia. Sudhir Kumar Sharma KIET Group of Institutions, Delhi-NCR, Ghaziabad, India. Parma Nand School of Engineering Technology, Sharda University, Greater Noida, India.