Explainable Artificial Intelligence in Healthcare Systems

$230.00

A. Anitha Kamaraj – School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India
Debi Prasanna Acharjya – School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

Series: Computer Science, Technology and Applications
BISAC: COM094000; COM021030; MED117000
DOI: https://doi.org/10.52305/GOMR8163

The twenty chapters in this book offer a comprehensive overview of the theory, algorithms, and applications of interpretable and explainable artificial intelligence. They cover recent advances in the field of healthcare, reflect the current discourse, and offer suggestions for future research. The book is divided into four sections: primitive concepts of XAI, XAI in smart tele-medicine and tele-health, public health application using XAI, and medical imaging classification using XAI. Thus, the book covers a comprehensive set of material ranging from fundamentals to image analysis employing XAI ideas.

 

Table of Contents

Preface

Chapter 1. XAI in Healthcare: Black Box to Interpretable Models
Shikha Verma¹, Sandhya Avasthi¹,², Priya Mishra¹, Meghna Gupta¹, and Gunjan Agarwal¹
¹MCA Department, ABES Engineering College, Ghaziabad, India
²Department of CSE, ABES Engineering College, Ghaziabad, India

Chapter 2.
Healthcare XAI: A Systematic Study
N. V. Neeraja and J. Kamalakannan
School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

Chapter 3. XAI in Healthcare: A SWOT Analysis
Anitha K
Department of Management Studies, Meenakshi Academy of Higher Education and Research, Chennai, India

Chapter 4. A Comprehensive Review on the Developments in Explainable Artificial Intelligence
Durga Shree N.¹, Steve Mathew D. A.¹, Bodi Harshavardhan Reddy¹, Tamil Priya D.¹, and Thinagaran Perumal²
¹Vellore Institute of Technology, Vellore, Tamil Nadu, India
²Universiti Putra Malaysia, Malaysia

Chapter 5. Unveiling the Algorithms: How Explainable AI Reshapes Healthcare
A. Thriveni¹, J. Balajee², and R. Vasanthselvakumar³
¹,³Department of Computer Science and Engineering – Software Engineering, Viswam Engineering College, Madanapalli, Andhra Pradesh, India
²Department of Computer Science and Engineering,Mother Theresa Institute of Engineering and Technology, Palamaner, Andhra Pradesh, India

Chapter 6. Sensor Scheduling in an IoT Health Monitoring System with Interference Awareness
M. Sirish Kumar¹, G. Nagendra Babu¹, Jasmine Sabeena², Ponnala Vaishnavi¹, and Sanamreddy Sandhya³
¹School of Computing, Mohan Babu University, Tirupati, India
²Department. of CSE, SVCE, Tirupati, India
³Computer Science and Engineering, Mohan Babu University, Tiruapati, India

Chapter 7. A Time Series-Based Artificial Neural Networks for Predicting COVID-19 Positive Cases in Indonesia
Balakrishnama Manohar¹, Raja Das², and Biju Vasudevan³
¹,²Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India
³Department of General Studies, Jubail University College, Jubail Industrial City, Saudi Arabia

Chapter 8. Abnormal Sound Detection in Lungs Using Vest-Coat Stethoscope Using Deep Learning Algorithm
B. Vishnu Vardhan¹, M. Kalaiselvi Geetha¹, G. Syam Prasad², and C. S. Khiran Kumar³
¹Department of Computer Science and Engineering, Annamalai University, India
²Department of Information Technology, Narasaraopeta Engineering College, Narasaraopeta
³University of Maryland Baltimore County, MD, USA

Chapter 9.
Heart Diseases Prediction Based on Multiple Machine Learning Models
Sreekumar¹, Suman Halder¹, Alex Khang², and Sambhu Dutta³
¹Rourkela Institute of Management Studies, Rourkela, Odisha, India
²AI and Data Scientist, Universities of Science and Technology, Vietnam and United States
³Internal Medicine and Intensive Care Medicine, St. Ann’s JM Hospital, Visakhapatnam, India

Chapter 10. Artificial Intelligence and Explainable Artificial Intelligence Applications for Predicting and Preventing Complications in Maternal Health
Karthik Balajee Laksham¹, Nanthini Saravanan², and Surendiran Balasubramanian³
¹Department of Community Medicine, JIPMER Karaikal, Karaikal, India
²Department of Obstetrics and Gynecology, JIPMER Karaikal, Karaikal, India
³Department of Computer Science and Engineering, National Institute of Technology (NIT) Puducherry, India

Chapter 11.
Heart Disease Prediction Using Machine Learning Algorithm with Explainable Artificial Intelligence for Health Care System
M. Deepa¹, M. Angulakshmi², Ayush Chhabra³, and Feslin Anish Mon⁴
¹, ², ³Vellore Institute of Technology, Vellore, India
⁴University of Technology and Applied Sciences, Ibri, Sultanate of Oman

Chapter 12. Ailment Prophecy Based on Symptoms Using Machine Learning
P. V. Madhushrii¹, K. S. Rithiksharvesh¹, D. Janani¹, S. Umamaheswari², P. Jayashri³, and G. M. Arun Prasath⁴
¹,²,³School of Advanced Sciences,Vellore Institute of Technology, Chennai, Tamil Nadu, India
⁴Department of Information Technology, University of Technology and Applied Sciences, Muscat, Oman

Chapter 13. Predicting the Disease Outbreak Using Artificial Intelligence and Data Mining Techniques
Chaitanya Ranpara¹, Gokul Kurup¹, Hayat Tamboli¹, S. Jenicka², and Sujatha Krishnamoorthy³
¹,²School of Computer Science and Engineering (SCOPE), Vellore Institute of Technology, Vellore, India
³Department of Computer Science, Wenzhou Kean University, Zhejiang Province, China

Chapter 14.
Explainable AI in Medical Image Processing for Health Care
Riyam Patel¹, Aditi Acharjya², Punyaban Pate¹,³, Borra Sivaiah⁴, Ruplal Choudhary⁵, and Saroj Kumar Meher⁶
¹Department of Computer Science and Engineering (AI and ML), SRM Institute of Science and Technology, SRM University, Kattankulathur, Chennai, India
²Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, India
³,⁴Department of Computer Science and Engineering, CMR College of Engineering and Technology, Kandlakoya, Hyderabad, India
⁵School of Agricultural Sciences, Southern Illinois University, Carbondale, IL, USA
⁶Department of Systems Science and Informatics Unit, Indian Statistical Institute, Bangalore Centre, Bangalore, India

Chapter 15. XAI in Health Care for Making Intelligent Decisions for COVID Prevention and Detection
P. Pradeep¹, J. Kamalakannan², S. BalaKumar³, and Vijayan Sugumaran⁴
Vellore Institute of Technology, Vellore, Tamilnadu, India

Chapter 16. Explainable AI in Healthcare
Kazi Kutubuddin Sayyad Liyakat
Department of Computer Science and Engineering, Brahmdevdada Mane Institute of Technology, Solapur (MS), India

Chapter 17. Medical Image-Based Steganography Using Deoxyribonucleic Acid (DNA) Algorithm
Pranav Shukla², Rajkumar Soundrapandiyan², Suganthi Kumar², and Rajasekar Ramalingam¹
¹University of Technology and Applied Sciences, Sur, Oman
²School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

Chapter 18. Deep Convolutional Neural Network for Classifying COVID-¹9 and Pneumonia Using Chest X-Ray Images
M. Lakshmi¹, Raja Das², Balakrishnama Manohar³, Potharla Ramadevi⁴, and Biju Vasudevan⁵
¹,²,³,⁴Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, Tamil Nadu, India
⁵Department of General Studies, Jubail University College, Jubail Industrial City, Saudi Arabia

Chapter 19. XAI-Driven Visualization for Improved Decision-Making in Sustainable and Smart Healthcare
Kamya Rachel and Ramanathan Lakshmanan
School of Computer Science and Engineering, Vellore Institute of Technology, Vellore

Chapter 20. Threats, Difficulties and Possibilities for XAI in Healthcare Decision Support Systems
Nancy Kumari
Vellore Institute of Technology, Bhopal University, MP, India

Index

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