Blockchain and machine learning for e-healthcare systems /

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�...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Balusamy, Balamurugan (Editor ), Chilamkurti, Naveen, 1974- (Editor ), Beena, T. Lucia Agnes (Editor ), Poongodi, T. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : The Institution of Engineering and Technology, 2020.
Colección:Healthcare technologies series ; 29.
Temas:
Clinical medicine > Computer programs.
Cryptography.
Distributed databases.
Health.
Machine learning.
Medical care.
Medicine > Data processing.
Health
Cryptographie.
Bases de données réparties.
Santé.
Apprentissage automatique.
Médecine > Informatique.
health.
cryptography.
distributed databases.
health care.
learning (artificial intelligence)
medical computing.
e-healthcare systems
clinical trials
control access
reimbursement
drug verification
consensus mechanisms
ultra-secure immutable ledgers
personal information
statistical data
patient history
blockchain technology
data quality
medical data
machine learning
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.

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