Industry 4.0 and Intelligent Business Analytics for Healthcare

$230.00$276.00

, , ,


Series
: Advances in Distributed Computing and Intelligent Data Analytics
BISAC: COM004000
DOI: https://doi.org/10.52305/MWCH6764

In today’s world, there is nothing permanent except change. We have seen the advent of the Fourth Industrial Revolution or Industry 4.0 over the last couple of years. Now is a perfect time to think about Industry 4.0 technology and leverage its advantages for the benefit of mankind. It cannot prevent the onset of pandemics; however, it can help and has helped prevent spread, educate, warn, and empower those on the ground to be aware of the situation, and noticeably lessen the impact. Industry 4.0 can fulfill the requirements of customized facemasks, gloves, and collect information for healthcare systems for proper controlling and treating of COVID-19 patients.

Major technologies of Industry 4.0 are required to solve the problems of this virus. It is useful to provide day-to-day updates of an infected patient, area-wise, age-wise and state-wise with proper surveillance systems. We also believe that the proper implementation of these technologies would help to enhance education and communication regarding public health. These Industry 4.0 technologies could provide a lot of innovative ideas and solutions for fighting local and global medical emergencies.

Today, we need to focus on technologies like mobile, cloud, analytics, robotics, AI/ML, 4G/5G, and high-speed internet; it has become possible to test several innovative approaches to pandemic response. The objective of this book is to bring together leading academic scientists, research scholars and professionals to exchange and share their experiences and research results in Industry 4.0 and Intelligent Business Analytics.

This research-oriented book will provide a common platform to all researchers in this domain. It covers different verticals of industry and academics, which is an added advantage of this book.

**Order both the printed version and the e-book together and SAVE!**

Table of Contents

Preface

Part I. Industry 4.0 and Healthcare

Chapter 1. Human-Computer Interface Trends in Healthcare: Industry 4.0 View
(Simra Fathima Nazim, Vinod Kumar Shukla, Komal Saxena – Department of Engineering and Architecture, Amity University, Dubai, United Arab Emirates, et al.)

Chapter 2. Role of Urban Control Centers for City Planning and Monitoring in a Pandemic Outbreak
(Shaurya Gupta, Sonali Vyas, Kanta Prasad Sharma – School of Computer Science, UPES Dehradun, Uttarakhand, India, et al.)

Chapter 3. Industry 4.0 for Promoting Health Inclusion in Emerging Markets: A Systematic Study of Narayana Healthcare, India
(Sana Moid, Nitin Shankar, Fatima Beena – Amity Business School, Amity University Uttar Pradesh, Lucknow Campus, India, et al.)

Chapter 4. Bitcoin Mining and its Utility in the Healthcare Sector
(Farhana Hussain Altaf Hussain, Leena Wanganoo, Vinod Kumar Shukla, Amit Verma – Department of Engineering and Architecture, Amity University, Dubai, UAE, et al.)

Chapter 5. Vocational Training and Integrative Technology in Neurodiverse Workforce
(Sonakshi Ruhela, Mark Eugine Francisco, Hibah Shata – Amity University Dubai, United Arab Emirates, et al.)

Chapter 6. Use of Some Standard Mathematical Models in Physiology and Pathology
(Saktipada Nanda, Sibashis Nanda – EM, Salt Lake, Kolkata, West Bengal, India, et al.)

Chapter 7. Training Healthcare Professionals in Artificial Intelligence Augmented Services
(Yasmeen Shamsi Rizvi, Sufian Zaheer – Jamia Millia Islamia, New Delhi, India, et al.)

Part II. Artificial Intelligence and Machine Learning in Healthcare

Chapter 8. Healthcare Sector and the Use of Artificial Intelligence Technology in Modern Times
(Kush Kalra, Pradeep Kulshrestha – Sharda University, India)

Chapter 9. Prediction of Cardiovascular Diseases Using Data Mining – Machine Learning and Deep Learning System
(Aiman Siraj, Vinod Kumar Shukla, Sonia Saini – Department of Engineering and Architecture, Amity University, Dubai, UAE, et al.)

Chapter 10. Artificially Intelligent Queueing Modeling Approach to Analyzing and Improving Health Care Systems
(S. S. Mishra, Carol Hargreaves, S Ahmad Ali, Sandeep Rawat – Dr. Rammanohar Lohia Avadh University, Ayodhya, Uttar Pradesh, India, et al.)

Chapter 11. Clientele Perception and Trust on Artificial Intelligence Integrated Health Services
(Andre Magpantay – University of the Philippines, Philippines)

Chapter 12. Leveraging Deep Learning: Early Detection and Prediction of Brain Disorders
(Maha Waheed Shahzad, Aiman Siraj, Aradhana Balodi Bhardwaj, Vinod Kumar Shukla

Part III. Covid-19, Healthcare and Technology

Chapter 13. Covid-19 Pandemic: Recovery and Death Ratio Analysis Based on Latitude Using Correlation and Anova
(Rinkal Sardhara, Shanti Verma – Department of Humanities, Arts and Applied Sciences, Amity University, Dubai, UAE, et al.)

Chapter 14. Pillars of a Corruption Free Economically Strong Healthcare Industry During Covid-19: Artificial Intelligence and Global Connectivity
(Kamakshi Mehta, Shikha Sharma, Vinod Kumar Shukla – Amity University Haryana, India, et al.)

Chapter 15. Analyzing Covid-19 and Other Pandemics Through Human Computer Interaction
(Dulini Ratnayake, Vinod Kumar Shukla, Ruchika Bathla – Department of Engineering and Architecture, Amity University, Dubai, UAE, et al.)

Chapter 16. Electronic Health Records and Challenges in Human Computer Interaction
(Pooja Lohit, Vinod Kumar Shukla, Anjuli Chaubey – Department of Engineering and Architecture, Amity University, Dubai, UAE, et al.)

Chapter 17. A Novel Model to Anticipate Transparency in COVID-19 Records of India Using Blockchain
(Shanti Verma, Rinkal Sardhara – L. J. University, Ahmedabad, Gujarat, India)

Chapter 18. Applications and Implementation of Contactless Hand Sanitizer Using Proximity Sensor
(Syeda Fizza Nuzhat Zaidi, Vinod Kumar Shukla, Ashok Chopra, Archana Singh – Department of Engineering Architecture and Interior Design, Amity University, Dubai, UAE, et al.)

Index


Editor’s ORCID iD

Vinod Kumar Shuklahttps://orcid.org/0000-0002-1143-0992

Additional information

Binding

, ,