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AI and Blockchain in Healthcare

  • Book
  • © 2023

Overview

Editors:
  1. Bipin Kumar Rai

    1. ABES Institute of Technology, Ghaziabad, India

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  2. Gautam Kumar

    1. CMR Engineering College, Hyderabad, India

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  3. Vipin Balyan

    1. Cape Peninsula University of Technology, Cape town, South Africa

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  • Highlights recent advances in blockchain and AI applications for health care
  • Presents how blockchain has the potential to decentralize data storage and information
  • Discusses patient-centric approach in order to increase the accuracy of electronic healthcare records (EHRs)

Part of the book series: Advanced Technologies and Societal Change (ATSC)

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-x
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  2. Role of AI and Blockchain in Healthcare

    1. Front Matter

      Pages 1-1
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    2. Machine Learning for Drug Discovery and Manufacturing

      • Bogala Mallikharjuna Reddy
      Pages 3-30

    3. Knowledge Strategies Influencing on the Epidemiologists Performance of the Qeshm Island’s Health Centers

      • Kamran Yeganegi, Maryam Ebrahimi, Ahmed J. Obaid
      Pages 31-44

    4. Healthcare: In the Era of Blockchain

      • Gagandeep Kaur, Priyanka Choudhary, Lakshita Sahore, Sunil Gupta, Veerpal Kaur
      Pages 45-55

    5. Securing Healthcare Records Using Blockchain: Applications and Challenges

      • Inderpreet Kaur, Vanshit Gupta, Vansh Verma, Supreet Kaur
      Pages 57-66

    6. Authentication Schemes for Healthcare Data Using Emerging Computing Technologies

      • Akanksha Upadhyaya, Manoj Kumar Mishra
      Pages 67-82

    7. Biomedical Data Classification Using Fuzzy Clustering

      • Shivani Sharma, Bipin Kumar Rai
      Pages 83-92

  3. Application of AI and Blockchain in Healthcare

    1. Front Matter

      Pages 93-93
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    2. Applications of Machine Learning in Healthcare with a Case Study of Lung Cancer Diagnosis Through Deep Learning Approach

      • Taskeen Zaidi, Bijjahalli Sadanandamurthy Sushma
      Pages 95-104

    3. Fetal Health Status Prediction During Labor and Delivery Based on Cardiotocogram Data Using Machine and Deep Learning

      • Anu Singha, Joe Raj S. Noel, R. V. Adhikrishna, Nived Suthahar, S. Abinesh, S. Jaya Sakthi Poorni
      Pages 105-135

    4. Blockchain and AI: Disruptive Digital Technologies in Designing the Potential Growth of Healthcare Industries

      • S. Uma
      Pages 137-150

    5. Recommendation Systems for Cancer Prognosis, Treatment and Wellness

      • Harshita Bhargava, Snehal Gupta, Geetika Vyas, Amita Sharma, Sreemoyee Chatterjee
      Pages 151-173

    6. Real-Time Data Mining-Based Cancer Disease Classification Using KEGG Gene Dataset

      • Parvathala Balakesava Reddy, Ahmed J. Obaid, V. Sivakumar Reddy, K. Saikumar
      Pages 175-188

    7. Solution Architecting on Remote Medical Monitoring with AWS Cloud and IoT

      • Parul Dubey, Arvind Kumar Tiwari
      Pages 189-202

    8. A Domain Oriented Framework for Prediction of Diabetes Disease and Classification of Diet Using Machine Learning Techniques

      • Salliah Shafi Bhat, Gufran Ahmad Ansari
      Pages 203-223

    9. An Accurate Swine Flu Prediction and Early Prediction Using Data Mining Technique

      • Srinivas Kolli, Ahmed J. Obaid, K. Saikumar, V. Sivakumar Reddy
      Pages 225-237
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Keywords

About this book

This book presents state-of-the-art blockchain and AI advances in health care. Healthcare service is increasingly creating the scope for blockchain and AI applications to enter the biomedical and healthcare world. Today, blockchain, AI, ML, and deep learning are affecting every domain. Through its cutting-edge applications, AI and ML are helping transform the healthcare industry for the better. Blockchain is a decentralization communication platform that has the potential to decentralize the way we store data and manage information. Blockchain technology has potential to reduce the role of middleman, one of the most important regulatory actors in our society. Transactions are simultaneously secure and trustworthy due to the use of cryptographic principles. In recent years, blockchain technology has become very trendy and has penetrated different domains, mostly due to the popularity of cryptocurrencies. One field where blockchain technology has tremendous potential is health care, dueto the need for a more patient-centric approach in healthcare systems to connect disparate systems and to increase the accuracy of electronic healthcare records (EHRs).

Editors and Affiliations

  • ABES Institute of Technology, Ghaziabad, India

    Bipin Kumar Rai

  • CMR Engineering College, Hyderabad, India

    Gautam Kumar

  • Cape Peninsula University of Technology, Cape town, South Africa

    Vipin Balyan

About the editors

Dr. Bipin Kumar Rai obtained his Ph.D. from Banasthali University, Rajasthan. Currently working as Professor in CSE/IT department at ABES Institute of Technology, Ghaziabad, U.P, India. His areas of interest are Cryptography & Information Security, Blockchain, Compiler Construction, and Data Structures.


Dr. Gautam Kumar is currently working at the Department of Computer Science and Engineering, CMR Engineering College, Hyderabad. He received his Ph.D. degree in Computer Science and Engineering from Jaypee University of Information Technology, Himachal Pradesh, India, in 2017. His research interests are in the field of Cryptography, Information Security, and Algorithms Designs and Analysis.


Dr. Vipin Balyan obtained his Ph.D. in Efficient Single Code Assignment in OVSF based WCDMA Wireless Networks in 2013. He is currently working as Senior Lecturer in the Department of Electrical, Electronics and Computer Engineering at Cape Peninsula University of Technology, Bellville Campus, Cape Town, South Africa. His research area includes CDMA, OFDM, VSF-OFCDM, NOMA, LoRa, and Hydrogen Fuel Cells.


Dr. Ivo R. Draganov is currently working as Associate Professor at the Department of Radio Communications and Video Technologies, Faculty of Telecommunications, Technical University of Sofia (TU-Sofia), Bulgaria. His main areas of scientific interests are in digital image processing, pattern recognition, neural networks, and multimedia systems.

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