This edited book examines the application of blockchain technology and machine learning algorithms in various healthcare settings. This book covers the basic concepts of Blockchain and Machine Learning, and explores these issues with an eye on improving clinical outcomes and improving the patient's experience.
This edited book examines the application of blockchain technology and machine learning algorithms in various healthcare settings. This book covers the basic concepts of Blockchain and Machine Learning, and explores these issues with an eye on improving clinical outcomes and improving the patient's experience.
* Chapter 1: Blockchain technology and its relevance in healthcare * Chapter 2: Privacy issues in blockchain * Chapter 3: Reforming the traditional business network * Chapter 4: A deep dive into Hyperledger * Chapter 5: Machine learning * Chapter 6: Machine learning in blockchain * Chapter 7: Framework for approaching blockchain in healthcare using machine learning * Chapter 8: Reforming the traditional business network * Chapter 9: Healthcare analytics * Chapter 10: Blockchain for healthcare * Chapter 11: Improved interop blockchain applications for e-healthcare systems * Chapter 12: Blockchain: lifeline care for breast cancer patients in developing countries * Chapter 13: Machine learning for health care * Chapter 14: Machine learning in healthcare diagnosis * Chapter 15: Python for healthcare analytics made simple * Chapter 16: Identification and classification of hepatitis C virus: an advance machine-learning-based approach * Chapter 17: Data visualization using machine learning for efficient tracking of pandemic - COVID-19
* Chapter 1: Blockchain technology and its relevance in healthcare * Chapter 2: Privacy issues in blockchain * Chapter 3: Reforming the traditional business network * Chapter 4: A deep dive into Hyperledger * Chapter 5: Machine learning * Chapter 6: Machine learning in blockchain * Chapter 7: Framework for approaching blockchain in healthcare using machine learning * Chapter 8: Reforming the traditional business network * Chapter 9: Healthcare analytics * Chapter 10: Blockchain for healthcare * Chapter 11: Improved interop blockchain applications for e-healthcare systems * Chapter 12: Blockchain: lifeline care for breast cancer patients in developing countries * Chapter 13: Machine learning for health care * Chapter 14: Machine learning in healthcare diagnosis * Chapter 15: Python for healthcare analytics made simple * Chapter 16: Identification and classification of hepatitis C virus: an advance machine-learning-based approach * Chapter 17: Data visualization using machine learning for efficient tracking of pandemic - COVID-19
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