Applications of Artificial Intelligence in the Healthcare Sector

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Jyoti Prakash Patra, PhD – Professor, Department of Computer Science and Engineering, Shri Shankaracharya Institute of Professional Management and Technology, Mujgahan, Raipur (CG), India
Yogesh Kumar Rathore – Assistant Professor, Department of Computer Science and Engineering, Shri Shankaracharya Institute of Professional Management and Technology, Mujgahan, Raipur (CG), India

Series: Computer Science, Technology and Applications
BISAC: COM004000; COM025000
DOI: 10.52305/FBWX5006

“The book is a collection of 10 chapters, each written by a different author, exploring various themes and issues related to Healthcare Sector. Overall, I found the book to be an insightful and informative read. The range of topics covered by the various authors was impressive, providing a comprehensive overview of the field. Each chapter was well-written, with clear and concise prose. The authors demonstrated a deep understanding of their respective topics, and the arguments were well-supported by evidence. I appreciated the way that the authors approached their subjects from different angles, providing a diversity of perspectives and viewpoints…” – Suman Kumar Swarnkar, PhD, Assistant Professor, Shri Shankaracharya Institute of Professional Management and  Technology (SSIPMT), Chhattisgarh, India


This book was constructed with the syllabus of many countries’ universities in mind, so that undergraduate students, postgraduate students, and university researchers can utilize it for their studies. Chapter 1 of the book mainly focuses on the background of Artificial Intelligence and its applications in various fields. Chapter 2 presents the applications of Artificial Intelligence to save lives in rural areas. In Chapter 3, applications of Artificial Intelligence in pharmacies are explored. Chapter 4 is about the use of machine learning algorithms to extract and optimize features from the imaging of a diseased patient. Chapter 5 provides details about the machine learning techniques used to detect lung cancer and pneumonia. Chapter 6 examines applications of deep learning techniques to fight the COVID-19 Pandemic. In Chapter 7, the use of deep autoencoders in the fields of bio-medicine is described with its implementation, and Chapter 8 covers chronic disease diagnosis using Artificial Intelligence and the Internet of Things. The last two chapters, Chapters 9 and 10 give focus to currently available health monitoring devices and possible improvements of their design along with the applications of IoRT (Internet of Robotics Things) in healthcare.

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Table of Contents

Preface

Chapter 1. Artificial Intelligence: Healthcare’s Future, Not a Mere Technology
Isha Lingayat
M. Pharmacy, Clinical Research, Department of Pharmacy Practice, National Institute of Pharmaceutical Education and Research
Sahibzada Ajit Singh Nagar, Punjab, India

Chapter 2. Applications of Artificial Intelligence in Rural Areas
Somesh Dewangan¹, Siddharth Choubey¹, Jyotiprakash Patra², Abha Choubey¹ and Swati Jain³
¹Department of Computer Science and Engineering, Shri Shankaracharya Technical Campus, Bhilai (C. G.), India
²Department of Computer Science and Engineering, Shri Shankaracharya Institute of Professional Management and Technology, Raipur (C. G.), India
³Department of Computer Science, GJY Chhattisgarh College, Raipur (C. G.), India

Chapter 3. An Artificial Intelligence-Based Pharmacy in Rural Areas
Preeti Tuli, Anand Tamrakar, and Abhishek Kumar Saw
Department of Computer Science and Engineering, Shri Shankaracharya Institute of Professional Management and Technology, Raipur (C.G.), India

Chapter 4. FW-MCDM: Feature Weighted Multi-Criteria Decision-Making Techniques for Multi-Label Feature Selections
Gurudatta Verma¹ and Sunil Kumar Dewangan²
¹Department of Information Technology, National Institute of Technology, Raipur (C.G.), India
²Department of Computer Science and Engineering, Shri Shankaracharya Institute of Professional Management and Technology, Raipur (C.G.), India

Chapter 5. Lung Cancer and Pneumonia Detection using Image Processing and Machine Learning
Preeti Yadav
Department of Computer and Science, Vipra College Raipur, Raipur, Chhattisgarh, India

Chapter 6. Deep Learning Algorithms in Healthcare
Suman Kumar Swarnkar¹, Bharat Bhushan², and Tien Anh Tran³
¹Department of Computer Science & Engineering, Shri Shankaracharya Institute of Professional Management and Technology Raipur (C.G.), India
²Department of Computer Science & Engineering, Sharda University, Knowledge Park III, Greater Noida, India
³Department of Marine Engineering, Vietnam Maritime University Haiphong, Haiphong, Vietnam

Chapter 7. Applying Topic Models for Finding N-Gram Entities in Biomedical Literature
G. S. Mahalakshmi¹, S. Hemadharsana¹, K. Srividhyasaradha¹, and S. Sendhilkumar²
¹Department of Computer Science & Engineering, Anna University, Chennai, Tamilnadu, India
²Department of Information Science & Technology, Anna University, Chennai, Tamilnadu, India

Chapter 8. A Chronic Disease Diagnosis Model for Smart Healthcare Systems Enabled by Artificial Intelligence and the Internet of Things
M. S. Guru Prasad¹, Pranav More², Sharon Christa¹ and M. Anand Kumar³
¹Department of Computer Science & Engineering, Graphic Era (Deemed to be University), Dehradun, India
²School of Technology Management & Engineering, SVKM’s NMIMS University, Navi Mumbai, India
³Department of Computer Applications, Graphic Era (Deemed to be University), Dehradun, India

Chapter 9. IoT-Based E-Health Monitoring System for Pre-Schoolers
Sumitra Samal and Tirna Mitra
Computer Science & Engineering, Shri Shankaracharya Institute of Professional Management and Technology, Raipur (C.G.), India

Chapter 10. Internet of Robotics Things (IORT) in Healthcare Systems
Deepak Rao Khadatkar and Yogesh Kumar Rathore
Department of Computer Science and Engineering, Shri Shankaracharya Institute of Professional Management and Technology, Raipur (C.G.), India

Index


Editor’s ORCID iD

Jyoti Prakash Patra 0000-0003-2924-6090
Yogesh Kumar Rathore0000-0003-0314-5611

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