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.
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 la
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