Description
This book 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.
This book:
- Presents architecture, characteristics, and applications of artificial intelligence and smart computing in health care systems
- Highlights 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 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.
Table of Contents
Chapter 1
Introduction to Computational Methods-Machine and Deep Learning Perspective
Hanuman Verma, Akshansh Gupta, Jyoti Singh Kira, Mukesh Prasad, and C.T. Lin
Chapter 2
Machine Learning Applications in Healthcare
Kushagra Krishnan, Sumit Kumar and Pinki Dey
Chapter 3
Deep Multi-view Learning for Healthcare Domain
Vipin Kumar, Bharti, Pawan Kumar Chaurasia and 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
Rafiqul Islam and Bharti
Chapter 6
A Comparative Analysis of noise robust Fuzzy Clustering Algorithms for Medical Image Segmentation
Inder Khatri, Dhirendra Kumar and Aaryan Gupta
Chapter 7
Exploring the role of AI, IoT and BC during Covid-19: A bibliometric and network analysis
Parul Khurana and Kiran Sharma
Chapter 8
Biomedical Named Entity Recognition using Natural Language Processing
Shaina Raza, Syed Raza Bashir, Vidhi Thakkar and 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 and K.S. Gayathri
Chapter 11
Heart Attack Analysis and Prediction System
Ashish Kumar Das, Ravi Vishwakarma, Adarsh Kumar Bharti, and Jyoti Singh Kirar
Chapter 12
Utility of Exploratory Data Analysis for Improved Diabetes Prediction
Udita Goswami, Yashwaswa Verma, Anwesha Kar and Jyoti Singh Kirar
Chapter 13
Fundus Image Classification for Diabetic Retinopathy Using Deep Learning
Monika Mokan, Soharab Hossain Shaikh, Devanjali Relan and Goldie Gabrani
Chapter 14
Emerging role of Artificial intelligence in precision oncology
Vinod Kumar Singh
Chapter 15
Artificial Intelligence in Precision Oncology
Ranjeet Kaura, Sabiya Fatima, Amit Doegara, C. Rama Krishan and Suyash Singh
Chapter 16
Computer-Aided Breast Cancer Diagnosis using Machine Learning and Deep Learning methods: A Comprehensive Survey
Ritika Singh, Vipin Kumar, Prashant Prabhakar and Ibrahim Momin
Chapter 17
Complex dynamical interplay of health, climate and conflicts with data driven approach
Syed Shariq Husain
