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Computational Intelligence Aided Systems for Healthcare Domain

Computational Intelligence Aided Systems for Healthcare Domain

          
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About the Book

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


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Product Details
  • ISBN-13: 9781032436654
  • Publisher: Taylor & Francis Ltd
  • Publisher Imprint: CRC Press
  • Height: 234 mm
  • No of Pages: 414
  • Spine Width: 23 mm
  • Width: 156 mm
  • ISBN-10: 1032436654
  • Publisher Date: 19 Dec 2024
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Weight: 607 gr


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