Main description:

The text covers recent advances in artificial intelligence, smart computing, and their applications in augmenting medical and health care systems. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including electrical, electronics and communication, computer, and biomedical.

The book-

Presents architecture, characteristics, and applications of artificial intelligence and smart computing in health care systems

Highlight privacy issues faced in health care and health informatics using artificial intelligence and smart computing technologies.

Discusses nature-inspired computing algorithms for the brain-computer interface.

Covers graph neural network application in the medical domain.

Provides insights into the state-of-the-art Artificial Intelligence and Smart Computing enabling and emerging technologies.

This book text discusses recent advances and applications of artificial intelligence and smart technologies in the field of healthcare. It highlights privacy issues faced in health care and health informatics using artificial intelligence and smart computing technologies. It covers nature-inspired computing algorithms such as genetic algorithms, particle swarm optimization algorithms, and common scrambling algorithms to study brain-computer interfaces. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and biomedical engineering.

Contents:

Chapter 1
Introduction to Computational Methods-Machine and Deep Learning Perspective
Hanuman et al.

Chapter 2
Deep Learning and Machine Learning methods for healthcare
Kushagra Krishnan and Pinki Dey

Chapter 3
Deep Multi-view Learning for Healthcare Domain
Dr. Vipin Kumar, Dr. Bharti, Dr. Pawan Kumar Chaurasia, Dr. Prem Shankar Singh Aydav

Chapter 4
Precision Healthcare in the Era of IoT and Big Data: Monitoring of Self-care Activities
Sujit Bebortta and Dilip Senapati

Chapter 5
Machine learning approach for classification of stroke patients using clinical data
Md. Rafiqul Islam and Bharti

Chapter 6
Comparative Analysis of noise robust Fuzzy C-means based Image Segmentation Algorithm
Inder Khatri, Dhirendra Kumar and Aryan Gupta

Chapter 7
Exploring the role of AI, IoT and Blockchain during Covid-19: A bibliometric and network analysis
Kiran Sharma and Parul Khurana

Chapter 8
Biomedical Named Entity Recognition using Natural Language Processing
Shaina Raza, Syed Raza Bashir, Vidhi Thakkar, Usman Naseem

Chapter 9
Image segmentation of skin disease using deep learning approach
Manbir Singh and Maninder Singh

Chapter 10
Multimodality dementia detection system using machine and deep learning
Shruti Srivatsan, Sumneet Kaur Bamrah, Gayathri K

Chapter 11
Heart Attack Analysis and Prediction System
Ashish Kumar Das, Ravi Vishwakarma, Adarsh Kumar Bharti, Binu Singh, Jyoti Singh Kirar
Chapter 12
Utility of Exploratory Data Analysis for Improved Diabetes Prediction
Jyoti et al.

Chapter 13
Fundus Image Classification for Diabetic Retinopathy Using Deep Learning
Monika Mokan, Soharab Hossain Shaikh, Devanjali Relan

Chapter 14
Emerging role of Artificial intelligence in precision oncology
Vinod Singh

Chapter 15
Artificial Intelligence in Precision Oncology: Research Trends (2015-2021), Challenges and Future Perspectives
Ranjeet Kaura, Sabiya Fatimaa, Amit Doegara, Dr. Suyash Singh

Chapter 16
Computer-Aided Breast Cancer Diagnosis using Machine Learning and Deep Learning methods: A Comprehensive Survey
Vipin et al.

Chapter 17
Understanding complex dynamical evolution and interplay of health, climate and conflicts using data driven approach
Syed Shariq Husain