AI and Blockchain in Healthcare (eBook, PDF)

• Format: PDF

Produktbeschreibung

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).

Produktdetails

• Verlag: Springer Nature Singapore
• Erscheinungstermin: 30. April 2023
• Englisch
• ISBN-13: 9789819903771
• Artikelnr.: 67865780

Autorenporträt

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.

Inhaltsangabe

Machine Learning for Drug Discovery and Manufacturing.- Knowledge Strategies Influencing on The Epidemiologists Performance of The Qeshm Island’s Health Centers.- Healthcare: In the Era of Blockchain.- Securing Healthcare records using Blockchain: Applications and Challenges.- Authentication Schemes For Healthcare Data Using Emerging Computing Technologies.- Biomedical data classification using fuzzy clustering.- Applications of Machine Learning in healthcare With a Case Study of Lung Cancer Detection Through Deep Learning Approach.- Fetal Health Status Prediction During Labor and Delivery Based on Cardiotocogram Data using Machine and Deep Learning.- Blockchain and AI: Disruptive Digital Technologies in Designing the Potential Growth of Healthcare Industries.

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Machine Learning for Drug Discovery and Manufacturing.- Knowledge Strategies Influencing on The Epidemiologists Performance of The Qeshm Island's Health Centers.- Healthcare: In the Era of Blockchain.- Securing Healthcare records using Blockchain: Applications and Challenges.- Authentication Schemes For Healthcare Data Using Emerging Computing Technologies.- Biomedical data classification using fuzzy clustering.- Applications of Machine Learning in healthcare With a Case Study of Lung Cancer Detection Through Deep Learning Approach.- Fetal Health Status Prediction During Labor and Delivery Based on Cardiotocogram Data using Machine and Deep Learning.- Blockchain and AI: Disruptive Digital Technologies in Designing the Potential Growth of Healthcare Industries.