| Description |
1 online resource (xxii, 457 pages) : illustrations |
| Series |
Healthcare Technologies Series ; 29 |
|
Healthcare technologies series ; 29.
|
| Contents |
Blockchain technology and its relevance in healthcare / Poongodi Thangamuthu, Indrakumari Ranganathan, Kiruthika Mani, Suganthi Shanmugam and Suresh Palanimuthu -- Privacy issues in blockchain / Prabha Selvaraj, Sumathi Doraikannan, Vijay Kumar Burugari and Kanmani Palaniappan -- Reforming the traditional business network / Neethu Narayanan and K.P. Arjun -- A deep dive into Hyperledger / Swathi Punathumkandi, Venkatesan Meenakshi Sundaram and Panneer Prabhavathy -- Machine learning / Deepa Chinnasamy and Saraswathi Devarajan -- Machinelearning in blockchain / Kolla Bhanu Prakash, Vadla Pradeep Kumar and Venkata Raghavendra Naga Pawan -- Framework for approaching blockchain in healthcare using machine learning / Vinolyn Vijaykumar, Indrakumari Ranganathan and Lucia Agnes Beena Thomas -- Reforming the traditional business network / K.P. Arjun, N.M. Sreenarayanan, K. Sampath Kumar and R. Viswanathan -- Healthcare analytics / Yogesh Sharma, Balusamy Balamurugan and Sreeji -- Blockchain for healthcare / Anupam Tiwari and Usha Batra -- Improved interop blockchain applications for e-healthcare systems / Jesu Rethnam Rethna Virgil Jeny, Kaushik Sekaran and Sai Srujan Dandyala -- Blockchain : lifeline care for breast cancer patients in developing countries / Hamsagayathri Palanisamy, Sampath Palaniswami, Godlin Atlas, Perarasi Sambantham, Gayathri Rajendran and Sowmiya Senthilvel -- Machine learning for health care / B.K.S.P. Kumar Raju Alluri -- Machine learning in healthcare diagnosis / Sugumaran Muthukumarasamy, Ananth Kumar Tamilarasan, John Ayeelyan and Adimoolam M. -- Python for healthcare analytics made simple / Sumathi Doraikannan and Prabha Selvaraj -- Identification and classification of hepatitis C virus : an advance machine-learning-based approach / Janmenjoy Nayak, Pemmada Suresh Kumar, Dukka Karun Kumar Reddy and Bighnaraj Naik -- Data visualization using machine learning for efficient tracking of pandemic : COVID-19 / Supriya Khaitan, Priyanka Shukla, Anamika Mitra, T. Poongodi and Rashi Agarwal |
| Summary |
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 |
| Analysis |
e-healthcare systems |
|
clinical trials |
|
control access |
|
reimbursement |
|
drug verification |
|
consensus mechanisms |
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ultra-secure immutable ledgers |
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personal information |
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statistical data |
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patient history |
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blockchain technology |
|
data quality |
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medical data |
|
machine learning |
| Bibliography |
Includes bibliographical references and index (pages 443-457) |
| Notes |
Print version record |
| Subject |
Clinical medicine -- Computer programs.
|
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Cryptography.
|
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Distributed databases.
|
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Health.
|
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Machine learning.
|
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Medical care.
|
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Medicine -- Data processing.
|
|
Health
|
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Machine Learning
|
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Patient Care
|
|
health.
|
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Clinical medicine -- Computer programs
|
|
Cryptography
|
|
Distributed databases
|
|
Health
|
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Machine learning
|
|
Medical care
|
|
Medicine -- Data processing
|
|
cryptography.
|
|
distributed databases.
|
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health care.
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learning (artificial intelligence)
|
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medical computing.
|
| Form |
Electronic book
|
| Author |
Balusamy, Balamurugan, editor.
|
|
Chilamkurti, Naveen, 1974- editor.
|
|
Beena, T. Lucia Agnes, editor
|
|
Poongodi, T., editor.
|
| ISBN |
1839531150 |
|
9781839531156 |
|
